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Estimate Std. Error t value Pr( t )(Intercept) 2.9813 1.8428 1.62 0.1080

Bwt 2.6364 0.7759 3.40 0.0009SexM 4.1654 2.0618 2.02 0.0453

Bwt:SexM 1.6763 0.8373 2.00 0.0472

Table 1: Linear regression model for cats data.

Bwt

Hw

t

10

15

20

2 2.5 3 3.5 4

F M2 2.5 3 3.5 4

Figure 1: The cats data from package MASS.

The Cats DataConsider the cats regression example from Venables & Ripley (1997). The dataframe contains measurements of heart and body weight of 144 cats (47 female, 97male).

A linear regression model of heart weight by sex and gender can be tted in R usingthe command

> lm1 = lm(Hwt ~ Bwt * Sex, data = cats)> lm1

Call:lm(formula = Hwt ~ Bwt * Sex, data = cats)

Coefficients:(Intercept) Bwt SexM Bwt:SexM

2.981 2.636 -4.165 1.676

Tests for signicance of the coefcients are shown in Table 1, a scatter plot includingthe regression lines is shown in Figure 1.

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