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.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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Transcribed Image Text:Using this data set, answer the questions that follow
Performance
Conscientiousne
Review
Rating
(predictor)
(criterion)
Participa
nt
Mean
SD
1
2
3
4
5
6
7
SS
2
r = .883
5
3
3
5
1
4
3.29
1.50
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.)
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