Regression Statistics Multiple R 0.9101558 R Square 0.8283837 Adjusted R Square 0.7971807 Standard Error 1.6929902 Observations 14 ANOVA df SS MS F Significance F Regression 2 152.1859 76.09296 26.54823 6.167E-05 Residual 11 31.52837 2.866216 Total 13 183.7143 Coefficients t Stat P- Lower 95% Upper Standard value 95% Error Intercept 87.882367 3.069241 28.63326 1.11E-11 81.1270127 94.63772 X1 0.3798766 0.090131 4.214702 0.001449 0.18149895 0.578254 X2 0.2216051 0.038442 5.76466 0.000126 0.13699483 0.306215
Regression Statistics Multiple R 0.9101558 R Square 0.8283837 Adjusted R Square 0.7971807 Standard Error 1.6929902 Observations 14 ANOVA df SS MS F Significance F Regression 2 152.1859 76.09296 26.54823 6.167E-05 Residual 11 31.52837 2.866216 Total 13 183.7143 Coefficients t Stat P- Lower 95% Upper Standard value 95% Error Intercept 87.882367 3.069241 28.63326 1.11E-11 81.1270127 94.63772 X1 0.3798766 0.090131 4.214702 0.001449 0.18149895 0.578254 X2 0.2216051 0.038442 5.76466 0.000126 0.13699483 0.306215
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
-
Using p-value for X1, the coefficient of X1 is significantly different from 0. Use α = .05.
Yes
No

Transcribed Image Text:Regression Statistics
Multiple R
0.9101558
R Square
0.8283837
Adjusted R
Square
0.7971807
Standard Error
1.6929902
Observations
14
ANOVA
df
SS
MS
F
Significance
F
Regression
2
152.1859
76.09296
26.54823
6.167E-05
Residual
11
31.52837
2.866216
Total
13
183.7143
Coefficients
t Stat
P-
Lower 95% Upper
Standard
value
95%
Error
Intercept
87.882367
3.069241
28.63326
1.11E-11
81.1270127
94.63772
X1
0.3798766
0.090131
4.214702
0.001449
0.18149895
0.578254
X2
0.2216051
0.038442
5.76466
0.000126
0.13699483
0.306215
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