## (Solved) Price 8,604 12,049 9,261 6,324 2,261 3,773 7,796 4,425 8,838 -731 9,104 9,237 6,555 4,970 10,421 2,863 2,350 7,844 2,477 4,878 6,140 6,330 8,510...

Refer to Problem 16.12 and its accompanying data file.Â Â Please read this question carefully as content of the test question may be different than in your textbook.Â Â Â A real estate agent specializing in commercial real estate wanted a more precise method of judging the likely selling price (in \$1000s) of apartment buildings. The agent took a sample of apartment buildings. The following variables were recorded: the price of apartment buildings (in \$1000s), number of square feet (in 1000s), number of apartments within the building, the age of each of the buildings, and the number of floors within each the apartment buildings in the sample.

Â

Perform a multiple regression of y on x by only using the independent variables â€œageâ€ and â€œfloorsâ€.Â

Test the significance of the slopes using the appropriate two-tailed hypothesis test. Your result/decision is:

a.cannot be determine

b.do not reject the null; none of the twoÂ independent variables are significant.

c.reject the null;Â bothÂ independent variables are significant

d.reject the null; only one of the independent variables is significant

Price
8,604
12,049
9,261
6,324
2,261
3,773
7,796
4,425
8,838
-731
9,104
9,237
6,555
4,970
10,421
2,863
2,350
7,844
2,477
4,878
6,140
6,330
8,510
3,155
13,295
3,708
10,001
7,256
1,950
11,072
4,107
6,488
617
9,291
873
11,530
10,838
5,811
6,559
7,771 Size
77.8
60.7
69.7
99.3
48
69
27.8
53.5
79.5
52
64.6
10
95.3
75.9
4.4
44.6
59.9
80.7
27.4
26.6
44.2
63.5
102.8
6.3
92.8
46.2
78.7
42.5
51.6
81.2
24.3
1.5
38.2
54.8
26.1
54.9
78.4
53.5
44.5
44.6 Apartments
78
117
89
88
48
60
74
56
101
44
64
82
92
110
42
54
72
110
48
15
75
70
99
43
122
77
89
62
36
74
61
49
32
96
51
101
76
49
87
84 Age
15
14
10
9
18
11
17
12
13
10
17
16
19
16
5
21
12
6
17
16
22
9
17
16
17
10
12
15
9
19
19
15
25
8
17
15
13
13
14
11 Floors
8
12
7
6
8
12
7
4
14
6
7
5
8
18
7
7
9
8
6
3
5
7
6
4
8
6
10
8
4
7
5
8
4
4
6
8
5
4
8
6

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