A certain town is located approximately 25 miles east of a large city. The data organized below include the appraised value (in thousands of dollars), land area of the property in acres, and age, in years, for a sample of single-family homes located in the town. Develop a multiple linear regression model to predict appraised value based on land area of the property and age, in years. Complete parts (a) through (f)

Appraised value	property size	age
467.4	0.2228	46
365.5	0.2125	58
427.7	0.1604	27
540.3	0.4603	18
401.9	0.2541	40
372.8	0.2201	90
316.9	0.1849	41
747.8	0.5068	2
212.1	0.2282	57
633.7	0.1391	11
348.6	0.1711	55
352.1	0.4214	48
351.7	0.2553	41
275.2	0.1139	12
301.8	0.1683	63
281.2	0.1725	57
396.6	0.3813	43
616.2	0.6582	45
314.4	0.1794	56
360.8	0.1491	74

Would be better if you could detail explain question b. Thanks.

2. A certain town is located approximately 25 miles east of a large city. The data organized below include the appraised value in thousands of dollars), land area of the property in acres, and age, in years, for a sample of 20 single-family homes located in the town. Develop a multiple linear regression model to predict appraised value based on land area of the property and age, in years. Complete parts (a) through (f). 1 Click the icon to view the data table. a. State the multiple regression equation. Let X, represent the land area of the property in acres and let Xzage, in years. ; = [ X + ) X2i (Round to four decimal places as needed.) b. Interpret the meaning of the slopes, b, and by, in this problem. Choose the correct answer below. O A. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by 1000b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by 1000b2 dollars. OB. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by b2 dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by by dollars. OC. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by by dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by b2 dollars. 2. A certain town is located approximately 25 miles east of a large city. The data organized below include the appraised value in thousands of dollars), land area of the property in acres, and age, in years, for a sample of 20 single-family homes located in the town. Develop a multiple linear regression model to predict appraised value based on land area of the property and age, in years. Complete parts (a) through (f). 1 Click the icon to view the data table. a. State the multiple regression equation. Let X, represent the land area of the property in acres and let Xzage, in years. ; = [ X + ) X2i (Round to four decimal places as needed.) b. Interpret the meaning of the slopes, b, and by, in this problem. Choose the correct answer below. O A. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by 1000b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by 1000b2 dollars. OB. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by b2 dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by by dollars. OC. For a given age, each increase of 1 acre in land area is estimated to result in an increase in appraised value by by dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in appraised value by b2 dollars