Search results “Interpretation of correlation coefficient”

This video will show how to interpret the meaning of the correlation coefficient when a data set is described by a line of best fit.

Views: 100927
LawrenceAcademy Math

How to interpret the SPSS output for Pearson's r correlation coefficient.
ASK SPSS Tutorial Series

Views: 196017
BrunelASK

The correlation coefficient is a really popular way of summarizing a scatter plot into a single number between -1 and 1. In this video, I'm giving an intuition how the correlation coefficient does this, without going into formulas. If you need to calculate the correlation coefficient for some data, you can find the formula here: https://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient#For_a_sample
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.(http://creativecommons.org/licenses/by-nc/4.0/)

Views: 429096
Benedict K

/learn how to interpret a correlation matrix. http://youstudynursing.com/
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A correlation matrix displays the correlation coefficients among numerous variables in a research study. This type of matrix will appear in hypothesis testing or exploratory quantitative research studies, which are designed to test the relationships among variables. In order to interpret this matrix you need to understand how correlations are measured. Correlation coefficients always range from -1 to +1. The positive or negative sign tells you the direction of the relationship and the number tells you the strength of the relationship. The most common way to quantify this relationship is the Pearson product moment correlation coefficient (Munro, 2005). Mathematically it is possible to calculate correlations with any level of data. However, the method of calculating these correlations will differ based on the level of the data. Although Pearson's r is the most commonly used correlation coefficient, Person's r is only appropriate for correlations between two interval or ratio level variables. When examining the formula for Person's r it is evident that part of the calculation relies on knowing the difference between individual cases and the mean. Since the distance between values is not known for ordinal data and a mean cannot be calculated, Pearson's r cannot be used. Therefore another method must be used. ... Recall that correlations measure both the direction and strength of a linear relationship among variables. The direction of the relationship is indicated by the positive or negative sign before the number.
If the correlation is positive it means that as one variable increases so does the other one. People who tend to score high for one variable will also tend to score high for another varriable.
Therefore if there is a positive correlation between hours spent watching course videos and exam marks it means that people who spend more time watching the videos tend to get higher marks on the exam.
Remember that a positive correlation is like a positive relationship, both people are moving in the same direction through life together.
If the correlation is negative it means that as one variable increases the other decreases. People who tend to score high for one variable will tend to score low for another.
Therefore if there is a negative correlation between unmanaged stress and exam marks it means that people who have more unmanaged stress get lower marks on their exam.
Remember that A negative correlation is like a negative relationship, the people in the relationship are moving in opposite directions. Remember that The sign (positive or negative) tells you the direction of the relationship and the number beside it tells you how strong that relationship is. To judge the strength of the relationship consider the actual value of the correlation coefficient. Numerous sources provide similar ranges for the interpretation of the relationships that approximate the ranges on the screen. These ranges provide guidelines for interpretation. If you need to memorize these criteria for a course check the table your teacher wants you to learn. Of course, the higher the number is the stronger the relationship is. In practice, researchers are happy with correlations of 0.5 or higher.
Also note that when drawing conclusions from correlations the size of the sample as well as the statistical significance is considered.
Remember that the direction of the relationship does not affect the strength of the relationship. One of the biggest mistakes people make is assuming that a negative number is weaker than a positive number. In fact, a correlation of -- 0.80 is just as high or just as strong as a correlation of +0.80. When comparing the values on the screen a correlation of -0.75 is actually stronger than a correlation of +0.56.
... Notice that there are correlations of 1 on a diagonal line across the table. That is because each variable should correlate perfectly with itself. Sometimes dashes are used instead of 1s.
In a correlation matrix, typically only one half of the triangle is filled out. That is because the other half would simply be a mirror image of it. Examine this correlation matrix and see if you can identify and interpret the correlations. A great question for an exam would be to give you a correlation matrix and ask you to find and interpret correlations.
What is the correlation between completed readings and unmanaged stress? What does it mean? Which coefficient gives you the most precise prediction? Which correlations are small enough that they would not be of much interest to the researcher? Which two correlations have the same strength? From looking at these correlations, what could a student do to get a higher mark on an exam?
Comment below to start a conversation.

Views: 51123
NurseKillam

This video covers how to calculate the correlation coefficient (Pearson’s r) by hand and how to interpret the results. Here we use the 'definitional formula' for calculating the correlation, as it is the easier of the two methods. It also makes more sense intuitively than the computational approach to calculating the correlation coefficient.
Click here for free access to all of our videos: https://www.youtube.com/user/statisticsinstructor
(Remember to click on "Subscribe")

Views: 59115
Quantitative Specialists

The coefficient of determination can help us report the explained and unexplained variation of the dependent variable.

Views: 102106
Diane R Koenig

I demonstrate how to perform and interpret a Pearson correlation in SPSS.

Views: 653825
how2stats

This video covers how to test a correlation coefficient (Pearson’s r) by hand. In part 1 we calculated Pearson's r and found it to be equal to -.90. Now we are testing it for statistical significance.
Quantitative Specialists

Views: 19030
Quantitative Specialists

Pearsons r ranges in value from -1 to +1. The further r is from zero, the stronger the correlation.
Requirements for Pearsons r:
(1) Both variables must be scale
(2) Neither distribution should be highly skewed
(3) The relationship between the two variables must not be curvi-linear (check the scatter plot)

Views: 23720
ProfKelley

VCE Further Maths Tutorials. Core (Data Analysis) Tutorial 18: Pearson's product-moment correlation coefficient, "r". This tute will walk you through how the "r" value works and how to estimate an "r" value from a scatterplot.
For more tutes, visit http://www.vcefurthermaths.com

Views: 141975
vcefurthermaths

Clearly explains the concept, calcuation and intepretation of correlation coefficient. To learn more http://www.kautilyas.com/statistics.html

Views: 106
Kautilyas

Step-by-step instructions for calculating the correlation coefficient (r) for sample data, to determine in there is a relationship between two variables.

Views: 422947
Eugene O'Loughlin

In this video Pinky Sharma explains
Correlation
Meaning of Correlation
Types of Correlation
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Guru Kpo

Explore how to estimate Pearson's Correlation Coefficient using Stata. Created using Stata 12. Copyright 2011-2017 StataCorp LLC. All rights reserved.

Views: 113341
StataCorp LLC

Basic introduction to correlation - how to interpret correlation coefficient, and how to chose the right type of correlation measure for your situation.
0:00 Introduction to bivariate correlation
2:20 Why does SPSS provide more than one measure for correlation?
3:26 Example 1: Pearson correlation
7:54 Example 2: Spearman (rhp), Kendall's tau-b
15:26 Example 3: correlation matrix
I could make this video real quick and just show you Pearson's correlation coefficient, which is commonly taught in a introductory stats course. However, the Pearson's correlation IS NOT always applicable as it depends on whether your data satisfies certain conditions. So to do correlation analysis, it's better I bring together all the types of measures of correlation given in SPSS in one presentation.
Watch correlation and regression: https://youtu.be/tDxeR6JT6nM
-------------------------
Correlation of 2 rodinal variables, non monotonic
This question has been asked a few times, so I will make a video on it. But to answer your question, monotonic means in one direction. I suggest you plot the 2 variables and you'll see whether or not there is a monotonic relationship there. If there is a little non-monotonic relationship then Spearman is still fine. Remember we are measuring the TENDENCY for the 2 variables to move up-up/down-down/up-down together. If you have strong non-monotonic shape in the plot ie. a curve then you could abandon correlation and do a chi-square test of association - this is the "correlation" for qualitative variables. And since your 2 variables are ordinal, they are qualitative.
Good luck

Views: 503566
Phil Chan

This video examines how to produce a correlation matrix on three or more variables in SPSS, including how to interpret the results.
Video Transcript: In this video we'll take a look at how to calculate a correlation matrix in SPSS. And a correlation matrix involves calculating all possible pairs of correlations. So, in this example here, notice there's 3 variables. For our correlation matrix, we'll calculate a correlation between SAT and social support, SAT and college GPA, and then finally social support and college GPA. And the way to do that is we want to go to Analyze and then Correlate and then select Bivariate. Now here we want to move our 3 variables over to the Variables box. We'll leave the default option, Pearson, selected, since we want the Pearson r correlation coefficient. We'll leave a two-tailed test selected as our default and then we'll go ahead and let SPSS flag the significant correlations. And we'll go ahead and test these correlations using an alpha of .05. Go ahead and click OK. And then here we get the output of our correlation matrix. And, as you can see here we have all of our variables SAT, social support, I'll go ahead and expand that a little bit, and college GPA in the columns then we have the same variables in the rows again. And where two variables meet or intersect, that's the bivariate correlation. Notice here on this main diagonal, we call it, these are all 1.0, or perfect correlations. Well that really shouldn't be surprising if you think about it, because this is the correlation of a variable with itself. So SAT with SAT, that's always going to be 1.0, social support with social support is 1, and college GPA with college GPA is 1. So these are always 1 on the main diagonal. What we want to look at is the off-diagonal. So either these 3 values right here in this lower triangle or these 3 values up here in the upper triangle. They're the exact same tests. So in other words, notice here we have social support and SAT, a correlation of .177. We have the exact same thing right here, SAT and social support, correlation of .177. So we'll just go and look at this lower triangle here. So notice that, as I said before, the correlation between social support and SAT is .177, college GPA and SAT is .650, and then finally social support and college GPA is .408. Now notice that these two correlations have asterisks next to them, and that this one has two asterisks and this one has one. Well if we look at the p-values here for each of these tests, which are shown under Sig., we can see that in fact the correlation between SAT and college GPA has a p-value of, it's reported as .000. What that really means is that it's less than .0005 and it's been rounded down. So this is a very small p-value, and this p-value is .015. Well notice that this p-value of .000 is less than .01, it's also less than .05. So this has two asterisks because, notice here on this note, 'correlation is significant at the .01 level,' since this p-value is less than .01, that's why we get the two asterisks here. Now for this correlation between social support and college GPA, notice the p-value here is .015. That's not less than .01, since this is .015, but it is less than .05. So it gets one asterisk, because it's less than .05, but not less than .01. Now we were testing these at .05, so we would say that SAT and college GPA, and social support and college GPA are both significant correlations. These correlations are significantly different than 0. And notice they're both positive, so higher scores on one variable are associated with higher scores on the other variable. Now social support and SAT is not significant, it had a p-value .310, and that's definitely greater than .05, so this correlation is not significant. So we cannot conclude that it's significantly different than 0. OK, so in summary, these two correlations are significant, and this one is not. And the correlation matrix calculated all these correlations at a single point in time. Now there's no limit to the number of variables you can calculate, you could have moved 10 variables over and had 45 correlations in that case. So there really is no limit all to the number of bivariate correlations you can calculate in your correlation matrix. Now we can also test if this entire matrix itself is significant. Now here I'm not talking about bivariate correlations, as we've done here, but this whole matrix at once, is it significant. And I'll do that in another video. Thanks for watching.

Views: 31624
Quantitative Specialists

How to calculate the Correlation using the Data Analysis Toolpak in Microsoft Excel is Covered in this Video (Part 2 of 2).
Check out our brand-new Excel Statistics Text: https://www.amazon.com/dp/B076FNTZCV
In the text we cover the p-value for Correlation and much more.
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Channel Description: For step by step help with statistics, with a focus on SPSS (with Excel videos now too). Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Videos series coming soon include: multiple regression in spss, factor analysis in spss, nonparametric tests in spss, multiple comparisons in spss, linear contrasts in spss, and many more. Subscribe today!
YouTube Channel: https://www.youtube.com/user/statisticsinstructor

Views: 556461
Quantitative Specialists

Visual explanation on how to read the Coefficient table generated by SPSS. Includes step by step explanation of each calculated value. Includes explanation plus visual explanation. Includes explanation on how to calculate the betas, standard error and standardized coefficients.
Related Videos
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statisticsfun

Learn how to use spearman correlation SPSS. In this step-by-step tutorial, you will learn how to carry out spearman correlation in SPSS, how to check the assumptions of spearman ranked order correlation in SPSS and how to interpret the result of your findings.
See www.spssboss.com for the APA and Harvard write up template for the spearman ranked order correlation in SPSS.
See our full video series on Descriptive Statistics in SPSS here: http://bit.ly/1mjJt9g

Views: 29148
SPSS BOSS

Correlation provides a measure of similarity between two signals. This video explains process of correlating discrete signals and highlights when normalised correlation is required.

Views: 73753
David Dorran

Updated video: SPSS for Beginners – Correlation https://youtu.be/6EH5DSaCF_8
This video demonstrates how to calculate correlations in SPSS and how to interpret correlation matrices.

Views: 443162
Research By Design

this video is for statistic and explain the topic of correlation, it gives the meaning of correlation and also the types of correlation, basically there are two type of correlation that is positive and negative correlation.
the video is made in Hindi language for easy manner so that student understand the topic and help them to score more marks in statistic subject, this video will be useful for the student of 11 and 12 CBSE NCRT AND STATE BOARD exam ,
after this video will be made on other theory topic like regression and also correlation coefficient will soon be made

Views: 5011
Pranav Classes

Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise)
Practice this lesson yourself on KhanAcademy.org right now:
https://www.khanacademy.org/math/probability/statistical-studies/types-of-studies/e/types-of-statistical-studies?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Watch the next lesson: https://www.khanacademy.org/math/probability/statistical-studies/types-of-studies/v/analyzing-statistical-study?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Missed the previous lesson?
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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it!
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Khan Academy

This video is suitable for REGRESSION ANALYSIS | REGRESSION STATISTICS | REGRESSION BY CHANDAN PODDAR | REGRESSION EQUATION | REGRESSION CHANGE IN ORIGIN AND SCALE | REGRESSION QUESTION | REGRESSION CONCEPTS | REGRESSION CONCEPTS AND NUMERICAL | REGRESSION NUMERICAL | CORRELATION | CORRELATION IN HINDI | CORRELATION BY CHANDAN PODDAR | TYPES OF CORRELATION | MEANING OF CORRELATION | MEANING OF CORRELATION IN HINDI | CORRELATION FOR CPT .
To watch complete course click here :-
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For Videos related call at :- 9818434684
For Books related enquiry :- 8010201786
For any other Enquiry :- 9953633448
Mail ID :- [email protected]

Views: 92368
Grooming Education Academy by Chandan Poddar

Introduction to Correlation & Regression

Views: 129817
Alexander W. Wiseman

Computing a Pearson Correlation in SPSS is a simple procedure. We will learn how to conduct a simple correlation in SPSS, how to interpret it, and how to write it up in APA style. We will use the five steps of hypothesis testing.

Views: 27493
Research By Design

How to run a correlation analysis using Excel and write up the findings for a report

Views: 295567
Chris Olson

Video shows what correlation coefficient means. Any of the several measures indicating the strength and direction of a linear relationship between two random variables.. Correlation coefficient Meaning. How to pronounce, definition audio dictionary. How to say correlation coefficient. Powered by MaryTTS, Wiktionary

Views: 776
ADictionary

This video explains what is meant by the covariance and correlation between two random variables, providing some intuition for their respective mathematical formulations. Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti

Views: 263750
Ben Lambert

Simple linear regression; Interpretations of the Pearson correlation coefficient;
r-squared (Coefficient of Determination)
Part 1 of 2

Views: 3516
Simcha Pollack

http://thedoctoraljourney.com/ This tutorial demonstrates how to conduct a zero-order bivariate correlation in SPSS.
For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.

Views: 95845
The Doctoral Journey

This video demonstrates how to interpret multiple regression output in SPSS. This example includes two predictor variables and one outcome variable. Unstandardized and standardized coefficients are reviewed.

Views: 126110
Dr. Todd Grande

Learn how to calculate "Pearson's", "Spearman's rank" and "Kendall's rank" correlation and create "confidence intervals" and "hypothesis tests" using "cor" and "cor.test" command. Also learn how to calculate covariance using "cov" command, produce pairwise plots using "pairs" command and a correlation or covariance matrix using the "cor" and "cov" commands. This video provides a beginner introduction to programming in R Statistical Software.
You can access and download the "LungCapData" dataset here:
Excel format: https://bit.ly/LungCapDataxls
Tab Delimited Text File: https://bit.ly/LungCapData
Here is a quick overview of the topics addressed in this video:
0:00:08 what is "Pearson's correlation"
0:00:16 what is "Spearman's rank correlation"
0:00:24 what is "kendall's rank correlation"
0:00:54 how to access the help menu in R for correlation commands
0:01:05 how to produce a scatterplot in R to explore the relationship between variables using "plot" command
0:01:39 how to calculate the correlation between variables using the "cor" command
0:01:46 how to calculate "pearson's correlation" in R using "method" command
0:02:17 how to calculate "Spearman's rank correlation" in R using "method" argument
0:02:24 how to calculate "kendall's rank correlation" in R using "method" argument
0:02:34 how to produce a confidence interval and test the hypothesis for the correlation using the "cor.test" command
0:03:21 how to calculate the "p value" when there are exact values in dataset using "exact" argument
0:03:42 how to change the alternative hypothesis using the "alt" argument
0:04:03 how to change confidence level using the "conf.level" command
0:04:13 how to calculate the covariance in R using the "cov" command
0:04:27 how to produce all possible pair-wise plots using the "pairs" command
0:04:50 how to produce a "pairs" plot only for some of the variables in the dataset by sub-setting data using square brackets
0:05:26 how to produce a correlation matrix using the "cor" command and "method" argument
0:05:37 how to deal with categorical variables in the dataset when creating correlation matrix by subsetting data using square brackets
0:06:18 how to produce the covariance matrix using the "cov" command

Views: 106276
MarinStatsLectures-R Programming & Statistics

This statistics lesson shows you how to interpret the correlation coefficient of a linear regression. The value of r shows you the strength and direction of 2 quantitative data set. Finding the value of r can be found using ti84 or any type of statistics application which compute values such as r.

Views: 684
Numberbender

Statistics Scatter Plots & Correlations Part 1 - Scatter Plots

Views: 42445
melathrop

How do correlation analyses work? What is the difference between the parametric Pearson correlation and the nonparametric Spearman's Rank correlation? In a practical example the two analyses yield opposite results: One is significantly positive, the other significantly negative. This surprising result is explained graphically and by looking at the data set, but without using any mathematical formulas. After two influential outliers are excluded, the two coefficients arrive at the same result.
Nerd-Year 2015: http://statistik-dresden.spreadshirt.de/2015-C361215
Blog: http://statistik-dresden.de/statistik-blog
(Google Translation option included)
Twitter: https://twitter.com/StatistikInDD
Facebook: https://www.facebook.com/statistikdresden

Views: 63283
StatistikinDD

This video is suitable for REGRESSION ANALYSIS | REGRESSION STATISTICS | REGRESSION BY CHANDAN PODDAR | REGRESSION EQUATION | REGRESSION CHANGE IN ORIGIN AND SCALE | REGRESSION QUESTION | REGRESSION CONCEPTS | REGRESSION CONCEPTS AND NUMERICAL | REGRESSION NUMERICAL | CORRELATION | CORRELATION IN HINDI | CORRELATION BY CHANDAN PODDAR | TYPES OF CORRELATION | MEANING OF CORRELATION | MEANING OF CORRELATION IN HINDI | CORRELATION FOR CPT .
To watch complete course click here :-
https://www.vidyakul.com/super-saver/super-saver-by-chandan-sir
For Videos related call at :- 9818434684
For Books related enquiry :- 8010201786
For any other Enquiry :- 9953633448
Mail ID :- [email protected]

Views: 285837
Grooming Education Academy by Chandan Poddar

I describe what Kendall's tau is and provide 2 examples with step by step calculations and explanations.

Views: 86818
how2stats

We can use scatter plots to understand the relationships between variables, but it is applied only for obvious relationships like Temperature and Viscosity. Sometimes, it is not possible to comment about relationship between variables only looking at the graph.
“CORRELATION & REGRESSION” are very important mathematical concepts to define relationship between variables. This is the topic for video.
I have tried to explain these concepts with the help of practical examples which will be very easy to understand. I have also explained the procedure about how to create a “CORRELATION & REGRESSION ANALYSIS” in Microsoft Excel. Everything is with steps, snapshots and examples, which will be very easy to understand.
I have also covered statistics part like how to read and understand “SIGNIFICANCE F and P-values”
I am sure, you will liked it.

Views: 106768
LEARN & APPLY

Interpreting the regression line.
For a full course of free Stats videos and projects, see mrpethan.com.

Views: 37551
apethan

In this video I show you how to conduct a Pearson Product Moment Correlation for multiple variables at once. Note: This is not a multivariate analysis, this is how to conduct several bivariate analyses at once using the Pearson correlation.
If you have any questions please feel free to post them in the comments section below and I will get back to you as soon as I can.
You can also message me on linkedin: https://ca.linkedin.com/in/szymanskijason

Views: 2472
SPSSisFun

(Asst. Prof. SANAT SHRIVASTAVA is a Faculty at Kalhana Academy an Institute for IAS, New Delhi)
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Views: 224498
ECOHOLICS

This video demonstrates how to calculate and interpret eta and eta-squared using SPSS. Eta and eta-squared are measures of association between nominal and interval variables. The difference between eta-squared and partial eta-squared is reviewed.

Views: 41290
Dr. Todd Grande

(Asst. Prof. SANAT SHRIVASTAVA is a Faculty at Kalhana Academy an Institute for IAS, New Delhi)
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Views: 113359
ECOHOLICS

Here is the video about Rank Correlation [When ranks are given, When ranks are not given and When equal Ranks are given] in Statistics, here we discussed what is rank correlation, how to find out rank correlation when ranks are given in the problem itself, how to find rank correlation when ranks are not given and how to find out rank correlation when equal ranks are given in the problem. hope this will help you to get the subject knowledge at the end. if you like this video please like, comment, share and subscribe. Thanks and All the best.
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