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 = 4.4 * weight + 557
This means that on average for every extra kilogram weight a rider loses 4.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 10 | GLAUS Gilbert | 67 |
| 990 | VAN VLIET Leo | 65 |
| 990 | DE ROOIJ Theo | 69 |
| 990 | WINNEN Peter | 60 |
| 990 | CHEVALLIER Philippe | 69 |
| 990 | MADIOT Marc | 68 |
| 990 | KELLY Sean | 77 |
| 990 | BITTINGER René | 69 |
| 990 | DEMIERRE Serge | 70 |
| 990 | JOURDAN Christian | 64 |
| 990 | MARTINEZ Paulino | 80 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | MARTIN Raymond | 62 |
| 990 | BOURREAU Bernard | 63 |