### Regression Analysis SummaryThe 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 | [

Answered: Image /qna-images/answer/dca459fa-000a-44ce-b6fd-149305fd7bac.jpg

Answered: Use the Stata output below. The data…

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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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.799 b=23.923 p²=0.695556 r=-0.834 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)
Listed below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right am blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 100 mm Hg Use a significance level of 0.05. Right Arm 103 102 95 78 Left Arm 175 169 147 146 144 m Click the icon to view the critical values of the Pearson correlation coetticient r The regression oquation is y =+O (Round to one decimal place as needed) Given that the systolic blood pressure in the right arm is 100 mm Hg, the best predicted systolic blood pressure in the left arm is mm Hg (Round to one decimal place as needed.)
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A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=6.22 b=21.6 r2=0.477481 r=0.691 Use this to predict the final exam score of a student who studies 8 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+b a=6.239 b=38.43 r²=0.758641 r=0.871 Use this to predict the final exam score of a student who studies 6 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=ax+b a= -0.889 b=32.071 r2=0.505521 r= -0.711 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: ý=ax+b a=-0.873 b=26.236 r2=0.527076 r=-0.726 Use this to predict the number of situps a person who watches 11 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.34 b=36.954 r2=0.966289 r=-0.983 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.614 b=32.79 r2=0.808201 r=0.899 Use this to predict the final exam score of a student who studies 1 hours per week, and please round your answer to a whole number.

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