The assessment data were gathered from 20 homes in Milwaukee, Wisconsin,neighborhood. Fit the regression model.
|
Total Dwelling size (100ft^2)
|
Assessed Value (Thousands)
|
Selling Price (thousands)
|
|
15.31
|
57.3
|
74.8
|
|
15.20
|
63.8
|
74
|
|
16.25
|
65.4
|
72.9
|
|
14.33
|
57
|
70
|
|
14.57
|
63.8
|
74.9
|
|
17.33
|
63.2
|
76
|
|
14.48
|
60.2
|
72
|
|
14.91
|
57.7
|
73.5
|
|
15.25
|
56.4
|
74.5
|
|
13.89
|
55.6
|
73.5
|
|
15.18
|
62.6
|
71.5
|
|
14.44
|
63.4
|
71
|
|
14.87
|
60.2
|
78.9
|
|
18.63
|
67.2
|
86.5
|
|
15.20
|
57.1
|
68
|
|
25.76
|
89.6
|
102
|
|
19.05
|
68.6
|
84
|
|
15.37
|
60.1
|
69
|
|
18.06
|
66.3
|
88
|
|
16.35
|
65.8
|
76
|
a) Assess the goodness of fit. Determine if the model is significant and determine which variables are significant.
b) Define and discuss correlation