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 - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FROOME Chris | 68 |
| 2 | CONTADOR Alberto | 61 |
| 3 | JUNGELS Bob | 70 |
| 4 | TALANSKY Andrew | 63 |
| 5 | KELDERMAN Wilco | 65 |
| 6 | BOOM Lars | 75 |
| 7 | KIRYIENKA Vasil | 69 |
| 8 | NIBALI Vincenzo | 65 |
| 9 | VAN GARDEREN Tejay | 72 |
| 10 | BRÄNDLE Matthias | 80 |