How would you describe the correlation? (Hint: two ways to describe correlations) What is the shared variance (%)? What is the residual variance (%)? (1 point) Use the data in question 1 and equations below to create the regression equation. ( b = , n(ΣΧΥ)- (Σx) (ΣΥ) C = Ỹ – bX Y = bx + c n(Σχ2)- (Σx)? Use the equation in question 7 to predict the number of pull-ups participant 4 can complete Using your predicted score in question 8, what is the residual score for participant 4? , point)
How would you describe the correlation? (Hint: two ways to describe correlations) What is the shared variance (%)? What is the residual variance (%)? (1 point) Use the data in question 1 and equations below to create the regression equation. ( b = , n(ΣΧΥ)- (Σx) (ΣΥ) C = Ỹ – bX Y = bx + c n(Σχ2)- (Σx)? Use the equation in question 7 to predict the number of pull-ups participant 4 can complete Using your predicted score in question 8, what is the residual score for participant 4? , point)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Transcribed Image Text:How would you describe the correlation? (Hint: two ways to describe correlations)
What is the shared variance (%)?
What is the residual variance (%)? (1 point)
Use the data in question 1 and equations below to create the regression equation.
η(ΣΧΥ)- (ΣΧ) (ΣΥ)
C = Y – bX
b =
Y = bx + c
n(EX²)-(EX)²
Use the equation in question 7 to predict the number of pull-ups participant 4 can
complete .
Using your predicted score in question 8, what is the residual score for participant 4?
point)
Transcribed Image Text:Use the data table below to answer the questions regarding the relationship between sit-ups
(X) and pull-ups (Y).
Subject
Y
1
20
15
2
15
10
3
34
20
4
18
17
5
23
7
1.
Subject
X2
Y
Y2
XY
1
20
400
15
225
300
2
15
225
10
100
150
3
34
1156
20
400
680
4
18
324
17
289
306
23
529
7
49
161
110
2634
69
1063
1597
5E
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