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 | FARRAR Tyler | 73 |
| 2 | MATTHEWS Michael | 72 |
| 3 | GREIPEL André | 80 |
| 4 | DEGENKOLB John | 82 |
| 5 | GILBERT Philippe | 75 |
| 6 | CIOLEK Gerald | 75 |
| 7 | CUMMINGS Steve | 73 |
| 8 | COOKE Baden | 75 |
| 9 | VAN GARDEREN Tejay | 72 |
| 10 | CONTADOR Alberto | 61 |
| 11 | RAVARD Anthony | 62 |
| 12 | TAARAMÄE Rein | 68 |
| 13 | MARTIN Tony | 75 |
| 14 | HINAULT Sébastien | 63 |
| 15 | DAVIS Allan | 73 |