Participa nt Mean SD 1 2 3 4 5 6 7 Conscientiousne (predictor) SS 2 r = .883 5 3 3 5 1 4 3.29 1.50 Performance Review Rating (criterion) 1 4 2 0 4 0 2 1.86 1.68 1. By hand, determine the regression line that best fits this data: a. What is the slope? b. What is the y-intercept? 2. By hand, calculate each y-predicted value based on this line (7 values in total). 3. By hand, calculate the sum of squares residual and standard error of the estimate. 4. Create a scatterplot depicting the actual y-values and the regression line for this data. (This can be hand drawn, but make sure your scatterplot has the appropriate labels, etc.)
Participa nt Mean SD 1 2 3 4 5 6 7 Conscientiousne (predictor) SS 2 r = .883 5 3 3 5 1 4 3.29 1.50 Performance Review Rating (criterion) 1 4 2 0 4 0 2 1.86 1.68 1. By hand, determine the regression line that best fits this data: a. What is the slope? b. What is the y-intercept? 2. By hand, calculate each y-predicted value based on this line (7 values in total). 3. By hand, calculate the sum of squares residual and standard error of the estimate. 4. Create a scatterplot depicting the actual y-values and the regression line for this data. (This can be hand drawn, but make sure your scatterplot has the appropriate labels, etc.)
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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