a) In a fitted regression model that relates the sale price to taxes and building characteristics, would you include all the variables?
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
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
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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