X ● Dependent Variable: y (Intercept) 1 Figure 6: The regression outputs dx Model 1: y = a + Bx₂ + e₁ ● Signif. codes: 0 0.001 0.01 Residual standard error: 0.07632 on 298 degrees of freedom Multiple R-squared: 0.05761, Adjusted R-squared: F-statistic: 18.22 on 1 and 298 DF, p-value: 2.65e-05 0.05445 Estimate Std. Error t value Er(>1t|) 4.23886 -0.15714 0.09726 43.581 <2e-16 *** -4.268 2.65e-05 ** 0.03682 Model 2: Aye = a + BAx₂ + ei 0.05 ¹.0.1 1 Dependent Variable: dy Estimate Std. Error t value Pr (>|t|| (Intercept) -0.0006393 0.0012531 -0.510 0.0825935 0.0612668 1.348 0.610 0.179 Residual standard error: 0.02166 on 297 degrees of freedom Multiple R-squared: 0.006082, Adjusted R-squared: F-statistic: 1.817 on 1 and 297 DF, p-value: 0.1787 0.002735 (a) Write the sample regression function(i.e., predicted y and predicted Ay) for both Model 1 and Model 2.
X ● Dependent Variable: y (Intercept) 1 Figure 6: The regression outputs dx Model 1: y = a + Bx₂ + e₁ ● Signif. codes: 0 0.001 0.01 Residual standard error: 0.07632 on 298 degrees of freedom Multiple R-squared: 0.05761, Adjusted R-squared: F-statistic: 18.22 on 1 and 298 DF, p-value: 2.65e-05 0.05445 Estimate Std. Error t value Er(>1t|) 4.23886 -0.15714 0.09726 43.581 <2e-16 *** -4.268 2.65e-05 ** 0.03682 Model 2: Aye = a + BAx₂ + ei 0.05 ¹.0.1 1 Dependent Variable: dy Estimate Std. Error t value Pr (>|t|| (Intercept) -0.0006393 0.0012531 -0.510 0.0825935 0.0612668 1.348 0.610 0.179 Residual standard error: 0.02166 on 297 degrees of freedom Multiple R-squared: 0.006082, Adjusted R-squared: F-statistic: 1.817 on 1 and 297 DF, p-value: 0.1787 0.002735 (a) Write the sample regression function(i.e., predicted y and predicted Ay) for both Model 1 and Model 2.
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
I need help with A
![Figure 6: The regression outputs
Dependent Variable: y
(Intercept)
|
Model 1: y = a + Bx₂ + e₁
dx
Estimate Std. Error t value Er(> [t|)
4.23886
-0.15714
Signif. codes: 0 0.001 0.01 0.05 . 0.1¹ 1
Residual standard error: 0.07632 on 298 degrees of freedom
Multiple R-squared: 0.05761, Adjusted R-squared:
F-statistic: 18.22 on 1 and 298 DF, p-value: 2.65e-05
0.09726 43.581 <2e-16 ***
0.03682 -4.268 2.65e-05
● Model 2: Ay+ = a + BAx₂ + ei
Dependent Variable: dy
Estimate Std. Error t value Pr(> |t|]
(Intercept) -0.0006393 0.0012531 -0.510
0.610
0.0825935 0.0612668 1.348
0.179
0.05445
Residual standard error: 0.02166 on 297 degrees of freedom
Multiple R-squared: 0.006082, Adjusted R-squared: 0.002735
F-statistic: 1.817 on 1 and 297 DF, P-value: 0.1787
(a) Write the sample regression function(i.e., predicted y and predicted Ay) for both
Model 1 and Model 2.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F60274854-1403-4bfb-a7d1-93cc7e7f3654%2F7496d14d-bfbf-41af-b72f-61726ee68b1a%2Fy6i53d9_processed.png&w=3840&q=75)
Transcribed Image Text:Figure 6: The regression outputs
Dependent Variable: y
(Intercept)
|
Model 1: y = a + Bx₂ + e₁
dx
Estimate Std. Error t value Er(> [t|)
4.23886
-0.15714
Signif. codes: 0 0.001 0.01 0.05 . 0.1¹ 1
Residual standard error: 0.07632 on 298 degrees of freedom
Multiple R-squared: 0.05761, Adjusted R-squared:
F-statistic: 18.22 on 1 and 298 DF, p-value: 2.65e-05
0.09726 43.581 <2e-16 ***
0.03682 -4.268 2.65e-05
● Model 2: Ay+ = a + BAx₂ + ei
Dependent Variable: dy
Estimate Std. Error t value Pr(> |t|]
(Intercept) -0.0006393 0.0012531 -0.510
0.610
0.0825935 0.0612668 1.348
0.179
0.05445
Residual standard error: 0.02166 on 297 degrees of freedom
Multiple R-squared: 0.006082, Adjusted R-squared: 0.002735
F-statistic: 1.817 on 1 and 297 DF, P-value: 0.1787
(a) Write the sample regression function(i.e., predicted y and predicted Ay) for both
Model 1 and Model 2.
Expert Solution
Step 1
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman