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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNT Jeremy | 76 |
| 2 | VAN DIJK Stefan | 74 |
| 3 | SWEET Jay | 69 |
| 4 | WROLICH Peter | 68 |
| 5 | AEBERSOLD Niki | 58 |
| 6 | NAZON Jean-Patrick | 74 |
| 7 | AERTS Mario | 68 |
| 13 | DE JONGH Steven | 76 |
| 14 | POLLACK Olaf | 77 |
| 15 | JALABERT Nicolas | 68 |
| 16 | BÉNÉTEAU Walter | 67 |
| 18 | HONDO Danilo | 73 |
| 19 | VOGELS Henk | 75 |