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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DE VLAEMINCK Roger | 74 |
| 3 | RAAS Jan | 72 |
| 4 | MAERTENS Freddy | 65 |
| 6 | KUIPER Hennie | 69 |
| 10 | DEMEYER Marc | 85 |
| 11 | GODEFROOT Walter | 73 |
| 13 | HINAULT Bernard | 62 |
| 22 | ZOETEMELK Joop | 68 |
| 25 | PRIEM Cees | 75 |
| 28 | DUCLOS-LASSALLE Gilbert | 73 |
| 38 | MARCUSSEN Jørgen | 70 |