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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLOT Guillaume | 71 |
| 2 | VACHON Florian | 65 |
| 4 | GALLAND Jérémie | 62 |
| 5 | TANNER David | 70 |
| 6 | DE BACKER Bert | 73 |
| 7 | DE JONGE Maarten | 65 |
| 8 | LISABETH Kenny | 75 |
| 10 | CHAINEL Steve | 69 |
| 12 | SALOMEIN Jarl | 80 |
| 13 | FUGLSANG Jakob | 67 |