Based on the below pearson correlation analysis, discuss the relationships between age, political identity, and belief in free expression. Note, it may help to visualize the relationship by sketching what the scatterplot and trend line would look like based on the direction and strength of the relationship as indicated by the Pearson Correlation value. Variables are defined as: Age: numerical age of respondent. Liberal-Conservative Continuum: 1 is extremely liberal, 7 is extremely conservative. Support for Free Expression scale: 0 is no support for free expression, 9 is maximum support for free expression.
Based on the below pearson correlation analysis, discuss the relationships between age, political identity, and belief in free expression. Note, it may help to visualize the relationship by sketching what the scatterplot and trend line would look like based on the direction and strength of the relationship as indicated by the Pearson Correlation value. Variables are defined as: Age: numerical age of respondent. Liberal-Conservative Continuum: 1 is extremely liberal, 7 is extremely conservative. Support for Free Expression scale: 0 is no support for free expression, 9 is maximum support for free expression.
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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- Based on the below pearson
correlation analysis, discuss the relationships between age, political identity, and belief in free expression. Note, it may help to visualize the relationship by sketching what thescatterplot and trend line would look like based on the direction and strength of the relationship as indicated by the Pearson Correlation value. Variables are defined as:
Age: numerical age of respondent.
Liberal-Conservative Continuum: 1 is extremely liberal, 7 is extremely conservative.
Support for Free Expression scale: 0 is no support for free expression, 9 is maximum support for free expression.
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