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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NOCENTINI Rinaldo | 60 |
| 3 | GLOMSER Gerrit | 67 |
| 5 | MAHORIČ Mitja | 68 |
| 6 | LAVERDE Luis Felipe | 63 |
| 7 | GOLČER Jure | 66.5 |
| 10 | HAMBURGER Bo | 58 |
| 13 | VAN DE WALLE Jurgen | 74 |
| 14 | SIJMENS Nico | 69 |