Data for Exercise 9.59

Retail

## Format

A data frame/tibble with 10 observations on two variables

months

length of employment (in months)

sales

employee gross sales (in dollars)

## References

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

## Examples


plot(sales ~ months, data = Retail)
model <- lm(sales ~ months, data = Retail)
abline(model, col = "blue")

summary(model)
#>
#> Call:
#> lm(formula = sales ~ months, data = Retail)
#>
#> Residuals:
#>      Min       1Q   Median       3Q      Max
#> -1395.51  -668.62     0.97   626.75  1433.90
#>
#> Coefficients:
#>             Estimate Std. Error t value Pr(>|t|)
#> (Intercept)  3246.39     574.50   5.651 0.000481 ***
#> months         49.85      29.89   1.668 0.133910
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 977.6 on 8 degrees of freedom
#> Multiple R-squared:  0.258,	Adjusted R-squared:  0.1652
#> F-statistic: 2.782 on 1 and 8 DF,  p-value: 0.1339
#>