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 = 21.5 * weight - 816
This means that on average for every extra kilogram weight a rider loses 21.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERNAUDEAU Jean-René | 64 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | HINAULT Bernard | 62 |
| 990 | PRIM Tommy | 76 |
| 990 | FIGNON Laurent | 67 |
| 990 | KELLY Sean | 77 |
| 990 | VAN IMPE Lucien | 59 |
| 990 | MARTIN Raymond | 62 |