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 = -1 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 3 | LEMOND Greg | 67 |
| 6 | MADIOT Marc | 68 |
| 8 | FIGNON Laurent | 67 |
| 9 | ZOETEMELK Joop | 68 |
| 13 | BARONCHELLI Gianbattista | 72 |
| 18 | PRIM Tommy | 76 |
| 19 | HINAULT Bernard | 62 |
| 23 | NEVENS Jan | 58 |
| 24 | DERNIES Michel | 75 |
| 25 | GAYANT Martial | 69 |
| 29 | KUIPER Hennie | 69 |
| 35 | WINNEN Peter | 60 |
| 49 | BOURREAU Bernard | 63 |