Data for Exercise 9.7
Citrus
A data frame/tibble with nine observations on two variables
age of children
percent peak bone density
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
model <- lm(percent ~ age, data = Citrus)
summary(model)
#>
#> Call:
#> lm(formula = percent ~ age, data = Citrus)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -3.9278 -2.6278 0.8222 2.7722 3.6722
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 32.5278 2.4283 13.40 3.03e-06 ***
#> age 3.4250 0.2158 15.87 9.55e-07 ***
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 3.342 on 7 degrees of freedom
#> Multiple R-squared: 0.973, Adjusted R-squared: 0.9691
#> F-statistic: 252 on 1 and 7 DF, p-value: 9.547e-07
#>
anova(model)
#> Analysis of Variance Table
#>
#> Response: percent
#> Df Sum Sq Mean Sq F value Pr(>F)
#> age 1 2815.35 2815.35 252 9.547e-07 ***
#> Residuals 7 78.21 11.17
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
rm(model)