Based on factors (e g , academic reputation, financial aid offerings, overall cost, and success of graduates in the post college job market) that actual college freshmen said were most important to their college decision, College Choice developed their Rankings of National Research Universities Below are the regression results for the top 50 US research universities of academic reputation score (y measured on a scale 0 100) on financial aid awarded (x1 measured in US dollars), net cost (x2 measured in US dollars), early career salary (x3 measured in US dollars), work makes a better place percentage (x4 ), and percentage of STEM (science, technology, engineering, and mathematics) degrees (x5 ) Coefficients a Model Unstandardized Coefficients t Sig B Std Error (Constant) Avg Financial Aid Avg Net Cost Early Career Pay High Meaning STEM 5 2 14 6 0 35 0 726 0 000639 0 000206 3 11 0 003 0 000004 0 000206 0 02 0 983 0 000336 0 000168 2 00 0 052 77 2 24 7 3 13 0 003 16 51 7 68 2 15 0 037 a Dependent Variable academic reputation score ANOVA a Model Sum of Squares df Mean Square F Sig 1 Regression 5087 82 5 1017 56 12 60 000 Residual 3552 36 44 80 74 Total 8640 18 49 a Dependent Variable academic reputation score b Predictors (Constant),financial aid awarded, net cost, early career salary, work makes a better place percentage, and percentage of STEM degrees Model Summary Model R R Square Adjusted R Square Std Error of the Estimate 1 0 767 a 589 542 8 98529 a Predictors (Constant),financial aid awarded, net cost, early career salary, work makes a better place percentage, and percentage of STEM degrees Write out the regression result in equation form What do the results tell us about the relationship betweenacademic reputation scoreandfinancial aid awarded Check the slope and intercept coefficients, and specify for each predictor variable whether the null hypothesis is rejected, or not, and whether the slope coefficient is statistically significant What does the adjusted R squared tell us What does the F statistic tell us

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Based on factors (e.g., academic reputation, financial aid offerings, overall cost, and success of graduates in the post-college job market) that actual college freshmen said

Based on factors (e.g., academic reputation, financial aid offerings, overall cost, and success of graduates in the post-college job market) that actual college freshmen said were most important to their college decision, College Choice developed their Rankings of National Research Universities.

Below are the regression results for the top 50 US research universities of academic reputation score (y - measured on a scale 0-100) on financial aid awarded (x1 - measured in US dollars), net cost (x2 - measured in US dollars), early career salary (x3 - measured in US dollars), work makes a better place percentage (x4 - %), and percentage of STEM (science, technology, engineering, and mathematics) degrees (x5 - %).

Coefficients^a
Model	Unstandardized Coefficients	t	Sig.
B	Std. Error
(Constant) Avg. Financial Aid Avg. Net Cost Early Career Pay % High Meaning % STEM	5.2	14.6	0.35	0.726
0.000639	0.000206	3.11	0.003
0.000004	0.000206	0.02	0.983
0.000336	0.000168	2.00	0.052
77.2	24.7	3.13	0.003
-16.51	7.68	-2.15	0.037
a. Dependent Variable:academic reputation score

ANOVA^a
Model	Sum of Squares	df	Mean Square	F	Sig.
1	Regression	5087.82	5	1017.56	12.60	.000
Residual	3552.36	44	80.74
Total	8640.18	49
a. Dependent Variable:academic reputation score
b. Predictors: (Constant),financial aid awarded, net cost, early career salary, work makes a better place percentage, and percentage of STEM degrees

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.0.767^a	.589	.542	8.98529
a. Predictors: (Constant),financial aid awarded, net cost, early career salary, work makes a better place percentage, and percentage of STEM degrees

Write out the regression result in equation form.
What do the results tell us about the relationship betweenacademic reputation scoreandfinancial aid awarded?
Check the slope and intercept coefficients, and specify for each predictor variable whether the null hypothesis is rejected, or not, and whether the slope coefficient is statistically significant.
What does the adjusted R-squared tell us?
What does the F-statistic tell us?