stress
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
A researcher is examining the relationship between stress levels and performance on a test of cognitive performance. She hypothesizes that stress levels lead to an increase in performance to a point, and then increased stress decreases performance. She tests 10 participants who have the following levels of stress:
10.94
12.76
7.62
8.17
7.83
12.22
9.23
11.17
11.88
8.18
When she tests their levels of mental performance, she finds the following cognitive performance scores (listed in the same participant order as above):
5.24
4.64
4.68
5.04
4.17
6.20
4.54
6.55
5.79
3.17
Perform a linear regression to examine the relationship between these variables. What do the results mean?
![Linear Regression v
Model Summary - V10.94
Model
Adjusted R-
R
R
RMSE
Họ
0.000
0.000
0.000
2.091
ANOVA
Model
Sum of Squares
df
Mean Square
F
p
Note. There is only an intercept model, no meaningful information can be shown.
Coefficients
Model
Unstandardized
Standard Error
Standardized
Họ
(Intercept)
9.896
0.697
14.197
<.001](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F855d312e-d3c4-46f8-aa8b-7f8b41f923b3%2F5c5c808f-5c2c-4559-924e-7f518ea9c9b2%2Fwoe1cq_processed.png&w=3840&q=75)
Transcribed Image Text:Linear Regression v
Model Summary - V10.94
Model
Adjusted R-
R
R
RMSE
Họ
0.000
0.000
0.000
2.091
ANOVA
Model
Sum of Squares
df
Mean Square
F
p
Note. There is only an intercept model, no meaningful information can be shown.
Coefficients
Model
Unstandardized
Standard Error
Standardized
Họ
(Intercept)
9.896
0.697
14.197
<.001
![Linear Regression
Model Summary - V5.24
Model
R
Adjusted R
RMSE
Ho
0.000
0.000
0.000
1.080
ANOVA
Model
Sum of Squares
df
Mean Square
F
Note. There is only an intercept model, no meaningful information can be shown.
Coefficients
Model
Unstandardized
Standard Error
Standardized
t
p
Но
(Intercept)
4.933
0.360
13.706
<.001](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F855d312e-d3c4-46f8-aa8b-7f8b41f923b3%2F5c5c808f-5c2c-4559-924e-7f518ea9c9b2%2Fpfdjqn_processed.png&w=3840&q=75)
Transcribed Image Text:Linear Regression
Model Summary - V5.24
Model
R
Adjusted R
RMSE
Ho
0.000
0.000
0.000
1.080
ANOVA
Model
Sum of Squares
df
Mean Square
F
Note. There is only an intercept model, no meaningful information can be shown.
Coefficients
Model
Unstandardized
Standard Error
Standardized
t
p
Но
(Intercept)
4.933
0.360
13.706
<.001
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