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:
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MADIOT Marc | 68 |
| 4 | KELLY Sean | 77 |
| 7 | GAYANT Martial | 69 |
| 17 | BERNAUDEAU Jean-René | 64 |
| 25 | INDURÁIN Miguel | 76 |
| 35 | CAROLI Daniele | 77 |
| 39 | LILHOLT Søren | 72 |
| 45 | SWART Steve | 74 |
| 57 | SOLLEVELD Gerrit | 93 |
| 64 | DE WILDE Etienne | 70 |
| 68 | VAN IMPE Lucien | 59 |
| 71 | HOSTE Frank | 76 |
| 73 | PEETERS Wilfried | 76 |
| 75 | DE WOLF Fons | 75 |