Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε was estimated. A portion of the regression results is as follows: df SS
Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε was estimated. A portion of the regression results is as follows: df SS
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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Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε was estimated. A portion of the regression results is as follows:
|
df |
SS |
MS |
F |
Significance F |
Regression |
2 |
2.12E+12 |
1.06E+12 |
56.556 |
3.07E-08 |
Residual |
17 |
3.19E+11 |
1.88E+10 |
|
|
Total |
19 |
2.44E+12 |
|
|
|
|
Coefficients |
Standard Error |
t Stat |
p-Value |
Lower 95% |
Upper 95% |
Intercept |
−987,557 |
131,583 |
−7.505 |
0.000 |
−1,265,173 |
−709,941 |
x1 |
29,233 |
32,653 |
0.895 |
0.383 |
−39,660 |
98,125 |
x2 |
30,283 |
32,645 |
0.928 |
0.367 |
−38,592 |
99,158 |
Answer the following questions based on the model results:
- At the 5% significance level, are the predictor variables jointly significant?
- At the 5% significance level, evaluate each of the independent or predictor variables.
- Think about the five common problems with regression models, what is most likely wrong with this model?
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