Search results “Statistical analysis of correlation”

In this brief presentation, Kelly Clement shows you what correlation analysis is, and how to use it in your market analysis.

Views: 29478
MetaStock

There has been a mistake. Please note 0 x 3 has been written 3. Extremely sorry for the mistake. Totals match though. Just writing error.

Views: 167181
Sagar Jain

Introduction to Correlation & Regression

Views: 127283
Alexander W. Wiseman

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:
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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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Views: 658745
Khan Academy

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: 499157
Phil Chan

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: 88326
LEARN & APPLY

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: 421058
Benedict K

This video shows how to use SPSS to conduct a Correlation and Regression Analysis. A simple null hypothesis is tested as well. The regression equation is explained despite the result of the hypothesis conclusion.
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MORE VIDEOS:
Watch Using Excel to find the Correlation Coefficient r here: https://youtu.be/y3bgaLwdm50
Watch ANOVA in SPSS here: https://youtu.be/Bx9ry1vBbTM
Watch Sampling Distribution of Sample Means here: https://youtu.be/anGsd2l5YpM
Watch Using Excel Charts to calculate Regression Equation here: https://youtu.be/qZjTtnyaV70
Watch Using Excel to calculate Regression Equation here: https://youtu.be/LDC0p9iZY8g
Watch ANOVA in Microsoft Excel (One-Way) here: https://youtu.be/WhBkgWL3_3k
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Views: 229026
Agron Kaci

This short video details the steps to be followed in order to undertake a Hypothesis Test for the significance of a Correlation Coefficient. In particular, we test the significance of a Pearson Correlation Coefficient, with that said; the test is similar to that for a Spearman Correlation Coefficient. Small error: Df should be n - 2 and not n -1.

Views: 18511
Maths and Stats

Follow me on Twitter @amunategui
Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUOKu
A great way to explore new data is to use a pairwise correlation matrix. This will pair every combination of your variables and measure the correlation between them. Code and walkthrough: http://amunategui.github.io/Exploring-Your-Data-Set/
Follow me on Twitter https://twitter.com/amunategui
and signup to my newsletter: http://www.viralml.com/signup.html
More on http://www.ViralML.com and https://amunategui.github.io
Thanks!

Views: 49539
Manuel Amunategui

Hi everyone. This video will show you how to calculate the correlation coefficient with a formula step-by-step. Please subscribe to the channel: https://www.youtube.com/frankromerophoto?sub_confirmation=1+%E2%80%9Cauto+subscribe%E2%80%9D
https://goo.gl/aWzM8C

Views: 487907
cylurian

Describe a bivariate relationship's linearity, strength, and direction.
View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/bivariate-data-ap/scatterplots-correlation/v/bivariate-relationship-linearity-strength-and-direction?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics
AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics.
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Views: 39185
Khan Academy

Have fun improving your math & physics skills! Head to https://brilliant.org/minutephysics/
Footnote video: https://www.youtube.com/watch?v=iMbcMMe0D_Y
This video is about how causal models (which use causal networks) allow us to infer causation from correlation, proving the common refrain not entirely accurate: statistics CAN be used to prove causality! Including: Reichenbach's principle, common causes, feedback, entanglement, EPR paradox, and so on.
REFERENCES:
Causal Discovery Algorithm in Quantum Mechanics Paper: https://arxiv.org/pdf/1208.4119.pdf
Causal Models overview (Quantum and Classical): https://arxiv.org/pdf/1609.09487.pdf
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Minute Physics provides an energetic and entertaining view of old and new problems in physics -- all in a minute!
Created by Henry Reich

Views: 560684
minutephysics

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

Views: 641190
how2stats

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

Views: 405892
Eugene O'Loughlin

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: 255735
Ben Lambert

How to build a correlation matrix in PAST statistical software

Views: 308
Yair suari

Download files: http://people.highline.edu/mgirvin/excelisfun.htm
Topics in this video:
1. (00:15) Review of different X-Y Scatter
2. (02:42) Add Xbar Line and Ybar Line to X Y Scatter Chart to help interpret how Covariance is calculated and why the math behind the calculation makes sense
3. (08:36) Formulas and Calculations for Covariance and Correlation Coefficient (Long Hand)
4. (12:38) COVARIANCE.S Excel function for calculation Sample Covariance
5. (13:41) Correlation Coefficient & PEARSON Excel function for calculation Correlation Coefficient
6. (16:11) CORREL Excel function for calculation Correlation Coefficient
7. (18:50) Summary

Views: 14856
ExcelIsFun

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: 548149
Quantitative Specialists

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R: http://www.r-project.org/

Views: 203528
Alan Cann

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: 56389
Quantitative Specialists

Today we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably heard of like regression coefficient, correlation coefficient (r), and r^2. But first, we’ll need to introduce a useful way to represent bivariate continuous data - the scatter plot. The scatter plot has been called “the most useful invention in the history of statistical graphics” but that doesn’t necessarily mean it can tell us everything. Just because two data sets move together doesn’t necessarily mean one CAUSES the other. This gives us one of the most important tenets of statistics: correlation does not imply causation.
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Views: 91820
CrashCourse

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 .
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Views: 254883
Grooming Education Academy by Chandan Poddar

Course web page: http://web2.slc.qc.ca/pcamire/

Views: 477959
[email protected]

We demonstrate installing Data Analysis ToolPak excel addin and how to build a Karl Pearson Correlation Matrix easily. The data set used can be downloaded from http://www.learnanalytics.in/blog/?p=150 .
Please subscribe to our channel to receive updates and also join our Linkedin Group for latest training videos and articles @http://www.linkedin.com/groups/Learn-Analytics-step-time-4240061

Views: 114549
Learn Analytics

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: 439160
Research By Design

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: 94545
The Doctoral Journey

Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and politics. Today we're going to build a hypothetical model to look at the relationship between likes and comments on a trending YouTube video using the Regression Model. We'll be introducing other popular models over the next few episodes.
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Views: 38950
CrashCourse

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: 25863
Research By Design

In this Excel Statistics essential training course, we will explore statistical concepts using excel as a tool. In this tutorial, we will learn about average, variance, standard deviation, correlation and standard score aka z score using Excel 2016.
These four basic concepts variance, average , standard deviation and standard score are shown using excel.

Views: 90
TheEngineeringWorld

Subject:Psychology
Paper:Applied Psychometrics

Views: 88
Vidya-mitra

This video demonstrates how to test the assumptions for Pearson’s r correlation in SPSS. The assumptions of normality, no outliers, linearity, and homoscedasticity are tested and a correlation is conducted.

Views: 15790
Dr. Todd Grande

This is how I will do the statistical analysis for correlation research design using megastat. All of the data here are just for presentation purposes only. (Sorry for the audio quality and the grammar)

Views: 35
Emmanuel Abuzo

Check out our brand-new Excel Statistics Text: https://www.amazon.com/dp/B076FNTZCV
This video illustrates how to calculate a correlation in Excel on three variables using the Data Analysis Toolpak.
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Correlation in Excel
Data Analysis ToolPak
Pearson Correlation in Microsoft Excel
Video Transcript: In this video I want to take a look at how to calculate the correlation coefficient in Microsoft Excel when I have more than two variables. So in this example I have SAT score, social support and this was recorded in college, and then college GPA. So we have three variables and what I want to do is get the correlation between all pairs of variables. So the correlation of SAT with social support, the correlation of SAT with college GPA, and then the correlation of social support with college GPA. So to do that I want to go ahead and select Data and then Data Analysis and then when this window opens up I want to go to Correlation and then click OK. Now here I need to select the area of my variables and it's already selected here but let's go ahead and redo that. So start with the first label SAT score and scroll all the way down until we have all the data selected. Notice that says B1 through D31 so those are all the cells that are of interest. And then notice that I've gone ahead and selected my labels which I wanted to do so I want to make sure I check this box Labels in First Row and then notice it says Grouped by Columns and that's right each variable is in a separate column so that looks great so let's go ahead and click OK. And it opens up the results in a new worksheet. I'm going to go ahead and expand these columns by double-clicking on them so we can see the information better here and then I'll also go ahead and dial down these decimal places here and we'll just take them to two decimal places. OK now I'm going to highlight the correlation coefficients so they're easier to see. And then let's go ahead and make this font a little larger as well so it's easier to see and I'll have to re- expand just a bit more. OK so these are our correlation results and notice here I have SAT Score, Social Support, and College GPA and here where a column intersects with a row that indicates the correlation. So the correlation .03 is the correlation or relationship between the SAT score and social support and that's very small. And then SAT correlates with college GPA .62 which is much higher that's a pretty strong correlation. And then finally social support correlates with college GPA .35. Now in this video what we're looking at when we're calculating the Pearson correlation coefficient which is what this is. When we run this analysis in Excel we get these correlation coefficients output it's important to note here that all we're getting is the descriptive statistic or the correlation between the two variables. But we haven't tested these for statistical significance. So while we know that the correlation here between college GPA and SAT scores .62 we don't know for certain at this point whether that correlation is significantly different from zero. It probably is just from experience here but we don't know that by looking at this alone and we don't know for example is .35 statistically significant this correlation between social support and college GPA. We can't tell that from this analysis. To know that we need to run another procedure in Excel which I've done in another video which I'll link to in this video for those who are interested. But it is important to be aware of here that running this procedure while definitely worthwhile it doesn't state whether a given correlation is statistically significant or not. So in other words we don't know whether this .35 is significantly different from zero or no relationship. We need to establish that by conducting a hypothesis test and unfortunately in Microsoft Excel it doesn't come out automatically when you run the correlation procedure but instead we need to run a different analysis. OK that's it for running the Pearson correlation for multiple variables in Microsoft Excel. Thanks for watching.
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Subscribe today!

Views: 101531
Quantitative Specialists

Producer: C.Y. Ling

Views: 200
T.Y. Tutorial

Psychologists often study the relationship between two variables. In this PSYCHademia episode I cover the correlational method. For students and teachers of AP Psychology, this episode aligns with Unit 2 Research Methods.

Views: 27989
PSYCHademia

Video for finding the covariance and correlation coefficient by hand.

Views: 128627
Kevin Brown

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

Views: 111224
StataCorp LLC

This is how I will do the statistical analysis for correlation research design using megastat. All of the data here are just for presentation purposes only. (Sorry for the audio quality and the grammar)

Views: 19
Emmanuel Abuzo

This is how I will do the statistical analysis for correlation research design using megastat. All of the data here are just for presentation purposes only. (Sorry for the audio quality and the grammar)

Views: 16
Emmanuel Abuzo

Statistics Scatter Plots & Correlations Part 1 - Scatter Plots

Views: 41147
melathrop

In this tutorial i'll be discussing about the Pearson's coefficient of correlation and how to interpret the value of it once it is calculated. i'll be using two examples one with manual calculation of r and other one with Excel.

Views: 25
Gihan Weerasekara

This demonstration shows you how to get a correlation coefficient, create a scatterplot, insert the regression line, and get the regression equation for two variables. This demonstration corresponds to the Introduction to Statistics, Think & Do textbook, by Scott Stevens (http://www.StevensStats.com).

Views: 60611
Scott Stevens

See here for the course website, including a transcript of the code and an interactive quiz for this segment:
http://dgrtwo.github.io/RData/lessons/lesson3/segment2/

Views: 4350
Data Analysis and Visualization Using R

Course web page: http://web2.slc.qc.ca/pcamire/

Views: 121999
[email protected]

We review what the main goals of regression models are, see how the linear regression models tie to the concept of linear equations, and learn to interpret the coefficients of a simple linear regression model with an example.
TABLE OF CONTENTS:
00:00 Simple Linear Regression
00:17 Objectives of Regressions
02:54 Variable’s Roles
03:30 The Magic: A Linear Equation
04:21 Linear Equation Example
05:24 Changing the Intercept
06:02 Changing the Slope
07:00 But the world is not linear!
07:44 Simple Linear Regression Model
08:25 Linear Regression Example
09:16 Data for Example
09:46 Simple Linear Regression Model
10:17 Regression Result
11:02 Interpreting the Coefficients
12:38 Estimated vs. Actual Values

Views: 300857
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