Using 20 observations, the multiple regression model y = Bo + B1x1 + B2x2 + ɛ was estimated. A portion of the regression results is as follows: Significance F 3.07E-08 df SS MS F Regression Residual 2 2.12E+12 1.06E+12 56.556 17 3.19E+11 1.88E+10 Total 19 2.44E+12 t Stat -7.505 Upper 95% -709,941 98,125 Coefficients Standard Error p-Value 0.000 Lower 95% Intercept -987,557 131,583 32,653 -1,265,173 X1 29,233 0.895 0.383 -39,660 X2 30,283 32,645 0.928 0.367 -38,592 99,158
Using 20 observations, the multiple regression model y = Bo + B1x1 + B2x2 + ɛ was estimated. A portion of the regression results is as follows: Significance F 3.07E-08 df SS MS F Regression Residual 2 2.12E+12 1.06E+12 56.556 17 3.19E+11 1.88E+10 Total 19 2.44E+12 t Stat -7.505 Upper 95% -709,941 98,125 Coefficients Standard Error p-Value 0.000 Lower 95% Intercept -987,557 131,583 32,653 -1,265,173 X1 29,233 0.895 0.383 -39,660 X2 30,283 32,645 0.928 0.367 -38,592 99,158
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Think about the five common problems with regression models, what is most likely wrong with this model?
![Using 20 observations, the multiple regression model y =
Bo + B1x1 + B2x2 + ɛ was estimated. A portion of the regression results is as follows:
Significance F
3.07E-08
df
SS
2.12E+12
MS
F
Regression
Residual
2
1.06E+12
56.556
17
3.19E+11
1.88E+10
Total
19
2.44E+12
t Stat
-7.505
p-Value
0.000
Upper 95%
-709,941
98,125
Coefficients
Standard Error
Lower 95%
Intercept
-987,557
29,233
131,583
32,653
-1,265,173
-39,660
X1
0.895
0.383
X2
30,283
32,645
0.928
0.367
-38,592
99,158](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe5b2b20d-049f-4dcf-af25-64fd11186c52%2F3798af90-2245-44ba-9e50-f54a7fd01759%2Ficlt7pc_processed.png&w=3840&q=75)
Transcribed Image Text:Using 20 observations, the multiple regression model y =
Bo + B1x1 + B2x2 + ɛ was estimated. A portion of the regression results is as follows:
Significance F
3.07E-08
df
SS
2.12E+12
MS
F
Regression
Residual
2
1.06E+12
56.556
17
3.19E+11
1.88E+10
Total
19
2.44E+12
t Stat
-7.505
p-Value
0.000
Upper 95%
-709,941
98,125
Coefficients
Standard Error
Lower 95%
Intercept
-987,557
29,233
131,583
32,653
-1,265,173
-39,660
X1
0.895
0.383
X2
30,283
32,645
0.928
0.367
-38,592
99,158
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