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 = 2 * weight - 97
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEMOND Greg | 67 |
| 11 | ZOETEMELK Joop | 68 |
| 19 | MADIOT Marc | 68 |
| 21 | CHEVALLIER Philippe | 69 |
| 24 | WINNEN Peter | 60 |
| 30 | MARTIN Raymond | 62 |
| 32 | VAN VLIET Leo | 65 |
| 35 | BOURREAU Bernard | 63 |
| 41 | DE ROOIJ Theo | 69 |
| 47 | KELLY Sean | 77 |
| 57 | JOURDAN Christian | 64 |
| 65 | BITTINGER René | 69 |
| 71 | DEMIERRE Serge | 70 |
| 72 | GLAUS Gilbert | 67 |
| 79 | MARTINEZ Paulino | 80 |