I want explain this correlations table between (x1 and x2) , (x3 and x1) , (x3 and x2) Dependent or not ? CorrelationsX1X2X3785..X1Pearson Correlation-107.000536Sig (2-tailed)363636X2Pearson Correlation785"222Sig. (2-tailed)000193363636X3Pearson Correlation-107222Sig (2-tailed)536193363636%23* Correlation is significant at the 0.01 level (2-tailed).

The sample correlation coefficient between the variables x1 and x2, obtained using the sample size…

Answered: I want explain this correlations table…

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Statistics

I want explain this correlations table between (x1 and x2) , (x3 and x1) , (x3 and x2) Dependent or not ?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

I want explain this correlations table between (x1 and x2) , (x3 and x1) , (x3 and x2) Dependent or not ?

Correlations
X1
X2
X3
785
..
X1
Pearson Correlation
-107
.000
536
Sig (2-tailed)
36
36
36
X2
Pearson Correlation
785"
222
Sig. (2-tailed)
000
193
36
36
36
X3
Pearson Correlation
-107
222
Sig (2-tailed)
536
193
36
36
36
%23
* Correlation is significant at the 0.01 level (2-tailed).

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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☐True ☐False In two correlated variables, if one of them increases when the other decreases that is called an inverse relationship.
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