Read and analyze the result above using the Simple Linear Regression. Question: Is the math aptitude score a significant predictor of Statistics grade? Why? A. Yes. Because the p-value of 0.19 is less than 0.05. B. Yes. Because the p-value of 0.19 is more than 0.05. C. No. Because the p-value of 0.19 is less than 0.05. D. No. Because the p-value of 0.19 is more than 0.05.
Read and analyze the result above using the Simple Linear Regression. Question: Is the math aptitude score a significant predictor of Statistics grade? Why? A. Yes. Because the p-value of 0.19 is less than 0.05. B. Yes. Because the p-value of 0.19 is more than 0.05. C. No. Because the p-value of 0.19 is less than 0.05. D. No. Because the p-value of 0.19 is more than 0.05.
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
Read and analyze the result above using the Simple Linear Regression.
Question: Is the math aptitude score a significant predictor of Statistics grade? Why?
A. Yes. Because the p-value of 0.19 is less than 0.05.
B. Yes. Because the p-value of 0.19 is more than 0.05.
C. No. Because the p-value of 0.19 is less than 0.05.
D. No. Because the p-value of 0.19 is more than 0.05.

Transcribed Image Text:1 SUMMARY OUTPUT
2
Regression Statistics
3
4 Multiple R
SR Square
6 Adjusted R Square
7 Standard Error
8 Observations
9
10 ANOVA
11
12 Regression
13 Residual
14 Total
15
16
17 Intercept
18 Math Score (X)
0.69305253
0.480321809
0.307095745
10.44664636
df
5
1
3
4
MS
SS
F
302.6027397 302.6027397 2.772803
327.3972603 109.1324201
630
Significance F
0.19446749
t Stat P-value
Coefficients Standard Error
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
26.78082192 30.51824016 0.877534936 0.444799 -70.34183872 123.9034826 -70.34183872 123.9034826
0.643835616 0.386647728 1.665173669 0.194467 -0.586650018 1.874321251 -0.586650018 1.874321251
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