Price	Sqft	Beds	Baths	Col
840000	2768	4	3.5	1
822000	2500	4	2.5	1
713000	2400	3	3	1
689000	2200	3	2.5	1
685000	2716	3	3.5	1
645000	2524	3	2	1
625000	2732	4	2.5	0
620000	2436	4	3.5	1
587500	2100	3	1.5	1
585000	1947	3	1.5	1
583000	2224	3	2.5	1
569000	3262	4	2	0
546000	1792	3	2	0
540000	1488	3	1.5	0
537000	2907	3	2.5	0
516000	1951	4	2	1
511000	1752	3	1.5	1
510000	1727	3	2	1
495000	1692	3	2	0
463000	1714	3	2	0
457000	1650	3	2	0
451000	1685	3	2	0
435000	1500	3	1.5	1
431700	1896	2	1.5	0
414000	1182	2	1.5	0
401500	1152	3	1	0
399000	1383	4	1	0
380000	1344	4	2	0
380000	1272	3	1	0
375900	2275	5	1	0
372000	1005	2	1	0
367500	1272	3	1	0
356500	1431	2	2	1
330000	1362	3	1	0
330000	1465	3	1	0
307500	850	1	1	0

A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file "Regression-Dataset2" contains the data.

1)Estimate the parsimonious linear regression model for the price. What is the intercept of the model? (Use Two decimals)

2)Estimate the parsimonious linear regression model for the price. What is the coefficient of the area (Sqft)? (Use Two decimals)