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 = 0.3 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | MOSER Francesco | 79 |
| 3 | KUIPER Hennie | 69 |
| 4 | ZOETEMELK Joop | 68 |
| 5 | KNUDSEN Knut | 79 |
| 9 | MARCUSSEN Jørgen | 70 |
| 11 | DEN HERTOG Fedor | 76 |
| 13 | SCHUITEN Roy | 83 |