Many factors affect the total expenses of a hospital. Two of these factors are the number of beds in the hospital and the number of admissions. Data were collected on 15 hospitals in the city and province, as shown in the table below:

Hospital	Number of beds	Admissions (100s)	Total expenses (1M)
1	220	80	60
2	340	160	130
3	520	230	160
4	150	50	25
5	40	10	15
6	210	150	90
7	140	50	50
8	100	6	5
9	420	160	100
10	50	20	12
11	80	18	10
12	40	30	15
13	110	30	20
14	300	100	65
15	250	120	70

please help me interpret the following using the QM for windows.

1. Write the regression equation between total expenses and number of beds.
2. Based on No. 1, determine and interpret the coefficient of determination and the coefficient of correlation.
3. Based on No. 1, is there a significant linear relationship (at 0.05 level of significance) between total expenses and number of beds? Why?
4. Write the regression equation between total expenses and admissions.
5. Based on No. 4, determine and interpret the coefficient of determination and the coefficient of correlation.
6. Based on No. 4, is there a significant linear relationship (at 0.05 level of significance) between total expenses and admissions? Why?
7. Write the regression equation relating total expenses to number of beds and admissions.
8. Based on No. 7, determine and interpret the coefficient of determination.
9. Based on No. 7, forecast total expenses at 200 number of beds and 10,000 admissions.