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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIRTGEN Tom | 77 |
| 2 | GREGAARD Jonas | 66 |
| 3 | GAUDU David | 53 |
| 5 | ROCHAS Rémy | 51 |
| 6 | BARCELÓ Fernando | 65 |
| 7 | IDJOUADIENE Pierre | 69 |
| 8 | ROCCHETTI Filippo | 72 |
| 11 | ŤOUPALÍK Adam | 65 |
| 12 | GODON Dorian | 74 |
| 14 | SLEEN Torjus | 65 |
| 15 | GHYS Robbe | 72 |
| 16 | EENKHOORN Pascal | 72 |
| 17 | DUNBAR Eddie | 57 |