Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final = =B₁ + B₁ atndrte + B₂hwrte + Â3priGPA+ Â₁ ACT reg final atndrte hwrte priGPA ACT Source Model 3094.70776 Residual 11929.9465 Yes No Total 15024.6543 final atndrte hwrte priGPA ACT _cons SS .0138725 .0183476 df Coef. Std. Err. Not enough information. 773.676939 4 669 17.832506 MS 673 22.324895 .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 Is the estimate of 32 statistically different from zero at a significance level of .05? t P>|t| 674 [95% Conf. Interval]
Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final = =B₁ + B₁ atndrte + B₂hwrte + Â3priGPA+ Â₁ ACT reg final atndrte hwrte priGPA ACT Source Model 3094.70776 Residual 11929.9465 Yes No Total 15024.6543 final atndrte hwrte priGPA ACT _cons SS .0138725 .0183476 df Coef. Std. Err. Not enough information. 773.676939 4 669 17.832506 MS 673 22.324895 .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 Is the estimate of 32 statistically different from zero at a significance level of .05? t P>|t| 674 [95% Conf. Interval]
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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![The image displays output from a Stata regression analysis involving student data from an undergraduate economics course. The regression equation is:
\[ \hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 atndrte + \hat{\beta}_2 hwrte + \hat{\beta}_3 priGPA + \hat{\beta}_4 ACT \]
**Table Interpretation:**
- **ANOVA Table:**
| Source | SS | df | MS |
|-----------|---------|-----|-----------|
| Model | 3094.70776 | 4 | 773.676939 |
| Residual | 11292.9465 | 669 | 17.832506 |
| Total | 15024.6543 | 673 | 22.324895 |
- "SS" is the sum of squares, "df" is degrees of freedom, and "MS" is mean square.
- Number of observations: 674
- F(4, 669) is the F-statistic for the model.
- Prob > F: Not specified
- R-squared: 0.206
- Adjusted R-squared: Not specified
- Root MSE: Not specified
- **Coefficients Table:**
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|-----------|---------|-----------|----------|--------|-----------------------|
| atndrte | 0.0138725 | - | - | - | - |
| hwrte | 0.0183476 | 0.010863 | 1.688 | 0.092 | [-0.0029474, 0.0396426] |
| priGPA | 1.906347 | 0.3750236| 5.084 | 0.000 | [1.169631, 2.643063] |
| ACT | 0.3990516 | 0.0553332| 7.208 | 0.000 | [0.2904413, 0.507662] |
| _cons](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b9e1e76-6c23-4665-8e2e-2e361a85a4dc%2F7c55096f-94c4-43bc-9964-107fe2a542ae%2F324c99c_processed.png&w=3840&q=75)
Transcribed Image Text:The image displays output from a Stata regression analysis involving student data from an undergraduate economics course. The regression equation is:
\[ \hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 atndrte + \hat{\beta}_2 hwrte + \hat{\beta}_3 priGPA + \hat{\beta}_4 ACT \]
**Table Interpretation:**
- **ANOVA Table:**
| Source | SS | df | MS |
|-----------|---------|-----|-----------|
| Model | 3094.70776 | 4 | 773.676939 |
| Residual | 11292.9465 | 669 | 17.832506 |
| Total | 15024.6543 | 673 | 22.324895 |
- "SS" is the sum of squares, "df" is degrees of freedom, and "MS" is mean square.
- Number of observations: 674
- F(4, 669) is the F-statistic for the model.
- Prob > F: Not specified
- R-squared: 0.206
- Adjusted R-squared: Not specified
- Root MSE: Not specified
- **Coefficients Table:**
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|-----------|---------|-----------|----------|--------|-----------------------|
| atndrte | 0.0138725 | - | - | - | - |
| hwrte | 0.0183476 | 0.010863 | 1.688 | 0.092 | [-0.0029474, 0.0396426] |
| priGPA | 1.906347 | 0.3750236| 5.084 | 0.000 | [1.169631, 2.643063] |
| ACT | 0.3990516 | 0.0553332| 7.208 | 0.000 | [0.2904413, 0.507662] |
| _cons
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