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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 2 | DE VLAEMINCK Roger | 74 |
| 3 | KUIPER Hennie | 69 |
| 4 | ZOETEMELK Joop | 68 |
| 5 | RAAS Jan | 72 |
| 8 | DEMEYER Marc | 85 |
| 9 | DE WOLF Fons | 75 |
| 11 | HINAULT Bernard | 62 |
| 13 | GODEFROOT Walter | 73 |
| 22 | EDWARDS Phil | 80 |
| 25 | DUCLOS-LASSALLE Gilbert | 73 |
| 28 | ROSIERS Roger | 78 |
| 29 | BERNAUDEAU Jean-René | 64 |
| 40 | VAN DEN HOEK Aad | 77 |