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 = 1.2 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DE WOLF Fons | 75 |
| 4 | POLLENTIER Michel | 62 |
| 9 | ZOETEMELK Joop | 68 |
| 11 | VAN IMPE Lucien | 59 |
| 23 | MARTIN Raymond | 62 |
| 24 | LASA Miguel María | 68 |
| 39 | LADRÓN Rafael | 74 |
| 54 | ELORRIAGA Javier Francisco | 85 |
| 57 | AJA Gonzalo | 66 |