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 = 0.8 * weight - 43
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | DE WOLF Fons | 75 |
| 3 | LASA Miguel María | 68 |
| 6 | ZOETEMELK Joop | 68 |
| 7 | POLLENTIER Michel | 62 |
| 8 | VAN IMPE Lucien | 59 |
| 14 | MARTIN Raymond | 62 |
| 15 | MARTINEZ Paulino | 80 |
| 16 | VIEJO José Luis | 64 |
| 26 | LADRÓN Rafael | 74 |
| 27 | AJA Gonzalo | 66 |
| 54 | ELORRIAGA Javier Francisco | 85 |