Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final 1 = Âo + Â₁atndrte + ß₂hwrte + ¸priGPA+ BACT reg final atndrte hwrte priGPA ACT Source Model Residual Total final atndrte hwrte priGPA ACT _cons SS 3094.70776 11929.9465 15024.6543 df 773.676939 4 669 17.832506 673 Coef. Std. Err. MS .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 9.225908 1.46863 22.324895 Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| Construct a 95% confidence interval about 83. The lower bound is ☐☐☐☐☐☐ 674 [95% Conf. Intervall
Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is: final 1 = Âo + Â₁atndrte + ß₂hwrte + ¸priGPA+ BACT reg final atndrte hwrte priGPA ACT Source Model Residual Total final atndrte hwrte priGPA ACT _cons SS 3094.70776 11929.9465 15024.6543 df 773.676939 4 669 17.832506 673 Coef. Std. Err. MS .0138725 .0183476 .010863 1.906347 .3750236 .3990516 .0535332 9.225908 1.46863 22.324895 Number of obs F(4, 669) Prob > F R-squared Adj R-squared Root MSE t P>|t| Construct a 95% confidence interval about 83. The lower bound is ☐☐☐☐☐☐ 674 [95% Conf. Intervall
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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Question
![Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is:
\[
\hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 atndrte + \hat{\beta}_2 hwrte + \hat{\beta}_3 priGPA + \hat{\beta}_4 ACT
\]
The Stata regression command is:
`. reg final atndrte hwrte priGPA ACT`
### Regression Output
#### ANOVA Table
| Source | SS | df | MS |
|------------|-----------|-----|------------|
| Model | 3094.70776 | 4 | 773.676939 |
| Residual | 11299.9465 | 669 | 17.832506 |
| Total | 15024.6543 | 673 | 22.324895 |
#### Model Summary
- Number of obs = 674
- F(4, 669) = (Not provided)
- Prob > F = (Not provided)
- R-squared = (Not provided)
- Adj R-squared = (Not provided)
- Root MSE = (Not provided)
#### Coefficients
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|----------|-----------|-----------|-----------|----------|----------------------|
| atndrte | 0.0138725 | 0.010863 | (Not provided) | (Not provided) | (Not provided) |
| hwrte | 0.0183476 | 0.018208 | (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 | (Not provided) | (Not provided) | (Not provided) |
### Task
Construct a 95% confidence interval about \(\beta_](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8b9e1e76-6c23-4665-8e2e-2e361a85a4dc%2F9c0f9172-364d-42c8-9c79-c9fc0bfd0d1e%2Fyoxh4ok_processed.png&w=3840&q=75)
Transcribed Image Text:Use the Stata output below. The data comes from students in an undergraduate economics course. The regression of interest is:
\[
\hat{f}inal = \hat{\beta}_0 + \hat{\beta}_1 atndrte + \hat{\beta}_2 hwrte + \hat{\beta}_3 priGPA + \hat{\beta}_4 ACT
\]
The Stata regression command is:
`. reg final atndrte hwrte priGPA ACT`
### Regression Output
#### ANOVA Table
| Source | SS | df | MS |
|------------|-----------|-----|------------|
| Model | 3094.70776 | 4 | 773.676939 |
| Residual | 11299.9465 | 669 | 17.832506 |
| Total | 15024.6543 | 673 | 22.324895 |
#### Model Summary
- Number of obs = 674
- F(4, 669) = (Not provided)
- Prob > F = (Not provided)
- R-squared = (Not provided)
- Adj R-squared = (Not provided)
- Root MSE = (Not provided)
#### Coefficients
| Variable | Coef. | Std. Err. | t | P>|t| | [95% Conf. Interval] |
|----------|-----------|-----------|-----------|----------|----------------------|
| atndrte | 0.0138725 | 0.010863 | (Not provided) | (Not provided) | (Not provided) |
| hwrte | 0.0183476 | 0.018208 | (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 | (Not provided) | (Not provided) | (Not provided) |
### Task
Construct a 95% confidence interval about \(\beta_
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