Data for Exercises 2.21 and 9.14

Gym

## Format

A data frame/tibble with eight observations on three variables

age

age of child

number

number of gymnastic activities successfully completed

## References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

## Examples


plot(number ~ age, data = Gym)
model <- lm(number ~ age, data = Gym)
abline(model, col = "red")

summary(model)
#>
#> Call:
#> lm(formula = number ~ age, data = Gym)
#>
#> Residuals:
#>     Min      1Q  Median      3Q     Max
#> -3.5213 -0.5904 -0.1596  1.6117  1.8404
#>
#> Coefficients:
#>             Estimate Std. Error t value Pr(>|t|)
#> (Intercept) -0.03191    2.01387  -0.016   0.9879
#> age          1.63830    0.39881   4.108   0.0063 **
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 1.933 on 6 degrees of freedom
#> Multiple R-squared:  0.7377,	Adjusted R-squared:  0.694
#> F-statistic: 16.88 on 1 and 6 DF,  p-value: 0.0063
#>