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
#>