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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 5 | THALER Klaus-Peter | 60 |
| 8 | BERNAUDEAU Jean-René | 64 |
| 9 | ZOETEMELK Joop | 68 |
| 16 | OVION Régis | 64 |
| 18 | SCHEPERS Eddy | 60 |
| 19 | KUIPER Hennie | 69 |
| 26 | MARTIN Raymond | 62 |
| 28 | NILSSON Sven-Åke | 63 |
| 29 | VAN IMPE Lucien | 59 |
| 52 | BOURREAU Bernard | 63 |
| 61 | DUCLOS-LASSALLE Gilbert | 73 |
| 74 | VAN VLIET Leo | 65 |