Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAPÉBIE Roger | 74 |
| 2 | VLAEMYNCK Lucien | 63 |
| 4 | LE GREVÈS René | 70 |
| 5 | DEBENNE René | 64 |
| 6 | STORME Lucien | 72 |
| 8 | LOUVIOT Raymond | 62 |
| 9 | HARDIQUEST Louis | 72 |
| 10 | MALLET Auguste | 53 |