4.In general, the total expenses of universities in New England are related to many different factors. Two of the most important are the number of classrooms in the university and the number of student admissions (in hundreds). Data were collected on 14 universities and are shown in the table below.

University	Classrooms	Admissions	Total Expenses
1	215	77	57
2	336	160	127
3	520	230	157
4	135	43	24
5	35	9	14
6	210	155	93
7	140	53	45
8	90	6	6
9	410	159	99
10	50	18	12
11	65	16	11
12	42	29	15
13	110	28	21
14	305	98	63

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.987362
R Square	0.974883
Adjusted R Square	0.970317
Standard Error	8.368626
Observations	14
ANOVA
	df	SS	MS	F	Significance F
Regression	2	29901.34	14950.67	213.4776	1.58E-09
Residual	11	770.3729	70.0339
Total	13	30671.71
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	0.653892	3.756493	0.17407	0.864973	-7.61409	8.921878	-7.61409	8.921878
Classrooms	0.023062	0.045154	0.510734	0.619631	-0.07632	0.122446	-0.07632	0.122446
Variable 2	0.622971	0.095007	6.557139	4.1E-05	0.413863	0.832079	0.413863	0.832079

1. Find the best model to predict the total expenses of a university.
2. Predict total expenses of a university based on 100 classrooms and ______ of 25 (00).
3. How well does the model explain these expenses? Evaluate and discuss in detail.
4. Is the model significant? Test the critical value is 3.90.
5. Should both variables be included in the model? Why or why not? Show Work.