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 = 0.7 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN IMPE Lucien | 59 |
| 3 | POLLENTIER Michel | 62 |
| 7 | ZOETEMELK Joop | 68 |
| 12 | DE WOLF Fons | 75 |
| 15 | KELLY Sean | 77 |
| 19 | ELORRIAGA Javier Francisco | 85 |
| 28 | AJA Gonzalo | 66 |
| 31 | MARTIN Raymond | 62 |
| 33 | LASA Miguel María | 68 |
| 36 | MARTINEZ Paulino | 80 |
| 72 | LADRÓN Rafael | 74 |