Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final =B₁ + B₁ atndrte + ß₂hwrte + ¸priGPA+ ¹ ACT .reg final atndrte hwrte priGPA ACT Source Model 3094.70776 11929.9465 Residual Total final SS atndrte hwrte priGPA ACT _cons 15024.6543 df 773.676939 4 669 17.832506 MS 673 22.324895 Coef. Std. Err. .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 9.225908 1.46863 Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| ||||||||||||| 674 [95% Conf. Interval] Approximate the p-value from the null hypothesis that all of the slope parameters are equal to zero.
Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final =B₁ + B₁ atndrte + ß₂hwrte + ¸priGPA+ ¹ ACT .reg final atndrte hwrte priGPA ACT Source Model 3094.70776 11929.9465 Residual Total final SS atndrte hwrte priGPA ACT _cons 15024.6543 df 773.676939 4 669 17.832506 MS 673 22.324895 Coef. Std. Err. .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 9.225908 1.46863 Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| ||||||||||||| 674 [95% Conf. Interval] Approximate the p-value from the null hypothesis that all of the slope parameters are equal to zero.
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
![### Regression Analysis Summary
The data analyzed is sourced from students in an undergraduate economics course. The regression model is specified as follows:
\( \hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 \text{atndrte} + \hat{\beta}_2 \text{hwrtel} + \hat{\beta}_3 \text{priGPA} + \hat{\beta}_4 \text{ACT} \)
#### Regression Output
**Stata Regression Command:**
. reg final atndrte hwrtel priGPA ACT
**ANOVA Table:**
| Source | SS | df | MS | |
|------------|------------|-----|-----------|--|
| Model | 3094.70776 | 4 | 773.676939 | |
| Residual | 11929.9465 | 669 | 17.832506 | |
| Total | 15024.6543 | 673 | 22.324895 | |
- **Number of Observations:** 674
- **F(4, 669):** [not provided]
- **Prob > F:** [not provided]
- **R-squared:** 0.206
- **Adj R-squared:** [not provided]
- **Root MSE:** [not provided]
**Coefficients:**
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|----------|-----------|-----------|--------|------|------------------------|
| atndrte | 0.0138725 | [not provided] | [not provided] | [not provided] | [not provided] |
| hwrtel | 0.0183476 | 0.010863 | [not provided] | [not provided] | [not provided] |
| priGPA | 1.906347 | 0.3750236 | [not provided] | [not provided] | [not provided] |
| ACT | 0.3990516 | 0.0535332 | [not provided] | [not provided] | [not provided] |
| _cons | 9.225908 | 1.46863 | [](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff2c90e6f-21b1-498d-a838-23f699b7822e%2Fdca459fa-000a-44ce-b6fd-149305fd7bac%2Flwdvip_processed.png&w=3840&q=75)
Transcribed Image Text:### Regression Analysis Summary
The data analyzed is sourced from students in an undergraduate economics course. The regression model is specified as follows:
\( \hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 \text{atndrte} + \hat{\beta}_2 \text{hwrtel} + \hat{\beta}_3 \text{priGPA} + \hat{\beta}_4 \text{ACT} \)
#### Regression Output
**Stata Regression Command:**
. reg final atndrte hwrtel priGPA ACT
**ANOVA Table:**
| Source | SS | df | MS | |
|------------|------------|-----|-----------|--|
| Model | 3094.70776 | 4 | 773.676939 | |
| Residual | 11929.9465 | 669 | 17.832506 | |
| Total | 15024.6543 | 673 | 22.324895 | |
- **Number of Observations:** 674
- **F(4, 669):** [not provided]
- **Prob > F:** [not provided]
- **R-squared:** 0.206
- **Adj R-squared:** [not provided]
- **Root MSE:** [not provided]
**Coefficients:**
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|----------|-----------|-----------|--------|------|------------------------|
| atndrte | 0.0138725 | [not provided] | [not provided] | [not provided] | [not provided] |
| hwrtel | 0.0183476 | 0.010863 | [not provided] | [not provided] | [not provided] |
| priGPA | 1.906347 | 0.3750236 | [not provided] | [not provided] | [not provided] |
| ACT | 0.3990516 | 0.0535332 | [not provided] | [not provided] | [not provided] |
| _cons | 9.225908 | 1.46863 | [
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
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