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 = -31.3 * weight + 2839
This means that on average for every extra kilogram weight a rider loses -31.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MOSER Francesco | 79 |
| 5 | HINAULT Bernard | 62 |
| 7 | DUCLOS-LASSALLE Gilbert | 73 |
| 990 | MINETTI Alberto | 69 |
| 990 | JOURDAN Christian | 64 |
| 990 | DIDIER Lucien | 67 |
| 990 | OVION Régis | 64 |
| 990 | BITTINGER René | 69 |
| 990 | ROCHE Stephen | 74 |
| 990 | MAERTENS Freddy | 65 |