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Consider a data set containing the weights of the body (in kg) and the weight of the brain (in g) for 35 mammals. A scatter
Consider a data set containing the weights of the body (in kg) and the weight of the brain (in g) for 35 mammals. A scatter plot of the data (with both axes on the log scale) is shown below. 100- 1e+03 1e-01 1e+01 Body weight (in kg) The plot suggests that there is a linear relationship between the logarithm of the brain weight and the logarithm of the body weight. A linear model was fiited using the (natural) logarithm of the brain weight as response and the (natural) logarithm of the body weight as covariate. Call 1m(formula log (brain)log (body), data mammals) Residuals: Min 1Q Median Max -1.68183 -0.65922 -0.01938 0.53806 1.64719 Coefficients: Estimate Std. Error t value Pr(>lt|) (Intercept) 2.10463 0.12914[A]
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