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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GERRANS Simon | 62 |
| 2 | VELITS Peter | 63 |
| 3 | VICIOSO Ángel | 60 |
| 4 | GAVAZZI Francesco | 65 |
| 5 | FUGLSANG Jakob | 67 |
| 6 | HENAO Sergio | 61 |
| 7 | CONTADOR Alberto | 61 |
| 8 | PORTE Richie | 62 |
| 9 | QUINTANA Nairo | 58 |
| 10 | WEENING Pieter | 68 |
| 11 | VAN GARDEREN Tejay | 72 |
| 12 | BAGOT Yoann | 65 |
| 13 | HERRADA José | 65 |
| 14 | ŠPILAK Simon | 68 |
| 15 | COSTA Rui | 69 |