Data for Example 9.5
Thermal
A data frame/tibble with 12 observations on the two variables
temperature (degrees Celcius)
heat loss (BTUs)
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
model <- lm(loss ~ temp, data = Thermal)
summary(model)
#>
#> Call:
#> lm(formula = loss ~ temp, data = Thermal)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -5.40 -2.20 0.10 2.35 6.20
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 40.60000 1.19331 34.02 1.14e-11 ***
#> temp -1.52000 0.09743 -15.60 2.40e-08 ***
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 3.774 on 10 degrees of freedom
#> Multiple R-squared: 0.9605, Adjusted R-squared: 0.9566
#> F-statistic: 243.4 on 1 and 10 DF, p-value: 2.397e-08
#>
plot(loss ~ temp, data = Thermal)
abline(model, col = "red")
rm(model)