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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAGNER Robert | 75 |
| 2 | BOS Theo | 77 |
| 3 | KITTEL Marcel | 82 |
| 4 | GREIPEL André | 80 |
| 5 | BOOM Lars | 75 |
| 6 | CAVENDISH Mark | 70 |
| 7 | LUDVIGSSON Tobias | 76 |
| 8 | JARC Blaž | 87 |
| 9 | FENN Andrew | 79 |
| 10 | KREDER Raymond | 70 |
| 11 | DEVENYNS Dries | 65 |
| 12 | SEROV Alexander | 77 |
| 13 | HENDERSON Gregory | 75 |
| 14 | GOŁAŚ Michał | 65 |
| 15 | WYSS Danilo | 65 |
| 16 | VEELERS Tom | 75 |
| 17 | EICHLER Markus | 78 |
| 18 | BOL Jetse | 71 |