table.b4: Table B4

Description Usage Format Source References Examples

Description

The table.b4 data frame has 24 observations on property valuation.

Usage

1

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

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5
data(table.b4)
attach(table.b4)
y.lm <- lm(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9)
summary(y.lm)
detach(table.b4)

Example output

Attaching package: 'MPV'

The following object is masked from 'package:datasets':

    stackloss


Call:
lm(formula = y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 + x9)

Residuals:
   Min     1Q Median     3Q    Max 
-3.720 -1.956 -0.045  1.627  4.253 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)  
(Intercept) 14.92765    5.91285   2.525   0.0243 *
x1           1.92472    1.02990   1.869   0.0827 .
x2           7.00053    4.30037   1.628   0.1258  
x3           0.14918    0.49039   0.304   0.7654  
x4           2.72281    4.35955   0.625   0.5423  
x5           2.00668    1.37351   1.461   0.1661  
x6          -0.41012    2.37854  -0.172   0.8656  
x7          -1.40324    3.39554  -0.413   0.6857  
x8          -0.03715    0.06672  -0.557   0.5865  
x9           1.55945    1.93750   0.805   0.4343  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 2.949 on 14 degrees of freedom
Multiple R-squared:  0.8531,	Adjusted R-squared:  0.7587 
F-statistic: 9.037 on 9 and 14 DF,  p-value: 0.000185

MPV documentation built on June 8, 2018, 1:03 a.m.

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