a) In a fitted regression model that relates the sale price to taxes and building characteristics, would you include all the variables?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 33PPS
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Please use SAS, if possible. Anything else is acceptable. Thanks.

Table 11.17

X1 X2 X3 X4 X5 X6 X7 X8 X9 Y
4.918 1 3.472 0.998 1 7 4 42 0 25.9
5.021 1 3.531 1.5 2 7 4 62 0 29.5
4.543 1 2.275 1.175 1 6 3 40 0 27.9
4.557 1 4.05 1.232 1 6 3 54 0 25.9
5.06 1 4.455 1.121 1 6 3 42 0 29.9
3.891 1 4.455 0.988 1 6 3 56 0 29.9
5.898 1 5.85 1.24 1 7 3 51 1 30.9
5.604 1 9.52 1.501 0 6 3 32 0 28.9
5.828 1 6.435 1.225 2 6 3 32 0 35.9
5.3 1 4.988 1.552 1 6 3 30 0 31.5
6.271 1 5.52 0.975 1 5 2 30 0 31
5.959 1 6.666 1.121 2 6 3 32 0 30.9
5.05 1 5 1.02 0 5 2 46 1 30
8.246 1.5 5.15 1.664 2 8 4 50 0 36.9
6.697 1.5 6.902 1.488 1.5 7 3 22 1 41.9
7.784 1.5 7.102 1.376 1 6 3 17 0 40.5
9.038 1 7.8 1.5 1.5 7 3 23 0 43.9
5.989 1 5.52 1.256 2 6 3 40 1 37.9
7.542 1.5 5 1.69 1 6 3 22 0 37.9
8.795 1.5 9.89 1.82 2 8 4 50 1 44.5
6.083 1.5 6.727 1.652 1 6 3 44 0 37.9
8.361 1.5 9.15 1.777 2 8 4 48 1 38.9
8.14 1 8 1.504 2 7 3 3 0 36.9
9.142 1.5 7.326 1.831 1.5 8 4 31 0 45.8

 

Table 11.18 List of variables for data in table 11.17

Variable Definition
Y Sale price of the house in thousands of dollars
X1 Taxes(local, county, school) in thousands of dollars
X2 Number of bathrooms
X3 Lot size (in thousands of square feet)
X4 Living space (in thousands of square feet)
X5 Number of garage stalls
X6 Number of rooms
X7 Number of bedrooms
X8 Age of the home (years)
X9 Number of fireplaces

 

a) In a fitted regression model that relates the sale price to taxes and building characteristics, would you include all the variables?

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