3. You are working on a regression when accidentally you dump coffee all over yourregression output. Using the remaining values, find the missing values in each blank numbered 1-9 SUMMARY OUTPUT Regression Statistics Multiple R 0.860644193 R Square #4 Adjusted R Square 0.72282625 Standard Error #5 Observations 32 ANOVA df Significance F MS F Regression 2 834.0726419 417.0363209 41.4216016 3.16178E-09 Residual #2 #1 #3 Total 31 1126.047188 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 36.90833048 2.190798638 16.84697527 1.62066E-16 32.42764417 41.38901679 cyl -2.264693597 0.575889243 #7 0.000480375 -3.442519346 -1.086867847 hp #6 0.01500073 -1.274717745 0.212528465 #8 #9
3. You are working on a regression when accidentally you dump coffee all over yourregression output. Using the remaining values, find the missing values in each blank numbered 1-9 SUMMARY OUTPUT Regression Statistics Multiple R 0.860644193 R Square #4 Adjusted R Square 0.72282625 Standard Error #5 Observations 32 ANOVA df Significance F MS F Regression 2 834.0726419 417.0363209 41.4216016 3.16178E-09 Residual #2 #1 #3 Total 31 1126.047188 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 36.90833048 2.190798638 16.84697527 1.62066E-16 32.42764417 41.38901679 cyl -2.264693597 0.575889243 #7 0.000480375 -3.442519346 -1.086867847 hp #6 0.01500073 -1.274717745 0.212528465 #8 #9
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

Transcribed Image Text:3. You are working on a regression when accidentally you dump coffee all over yourregression
output.
Using the remaining values, find the missing values in each blank numbered 1-9
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.860644193
R Square
# 4
Adjusted R Square
0.72282625
Standard Error
#5
Observations
32
ANOVA
df
MS
F
Significance F
Regression
2
834.0726419
417.0363209
41.4216016
3.16178E-09
Residual
#2
#1
# 3
Total
31
1126.047188
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
36.90833048
2.190798638
16.84697527 1.62066E-16
32.42764417 41.38901679
cyl
-2.264693597
0.575889243
#7
0.000480375
-3.442519346 -1.086867847
hp
#6
0.01500073 -1.274717745 0.212528465
#8
#9
Screenshot
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