Description
The table.b4 data frame has 24 observations on property
valuation.
Format
This data frame contains the following columns:
- y
- sale price of the house (in thousands of dollars)
- x1
- taxes (in thousands of dollars)
- x2
- number of baths
- 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 (in years)
- x9
- number of fireplaces
Source
Montgomery, D.C., Peck, E.A., and Vining, C.G. (2001)
Introduction to Linear Regression Analysis. 3rd Edition, John Wiley and Sons.References
Narula, S.C. and Wellington (1980) Prediction, Linear Regression
and Minimum Sum of Relative Errors. Technometrics, 19, 1977.
Examples
Run this codedata(table.b4)
attach(table.b4)
y.lm <- lm(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9)
summary(y.lm)
detach(table.b4)
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