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 = 2.3 * weight - 115
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Raymond | 62 |
| 2 | NILSSON Sven-Åke | 63 |
| 5 | ZOETEMELK Joop | 68 |
| 9 | BERNAUDEAU Jean-René | 64 |
| 10 | KUIPER Hennie | 69 |
| 12 | OVION Régis | 64 |
| 31 | BOURREAU Bernard | 63 |
| 37 | SCHEPERS Eddy | 60 |
| 39 | THALER Klaus-Peter | 60 |
| 44 | VAN IMPE Lucien | 59 |
| 54 | DUCLOS-LASSALLE Gilbert | 73 |
| 57 | JOURDAN Christian | 64 |
| 62 | VAN VLIET Leo | 65 |
| 64 | POLLENTIER Michel | 62 |
| 77 | KELLY Sean | 77 |
| 89 | HOSTE Frank | 76 |