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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Chris Anker | 64 |
| 2 | ALBASINI Michael | 65 |
| 3 | KRUIJSWIJK Steven | 63 |
| 4 | EDET Nicolas | 60 |
| 5 | GOŁAŚ Michał | 65 |
| 6 | LEIPHEIMER Levi | 62 |
| 7 | ROHREGGER Thomas | 63 |
| 8 | ROSENDO Jesús | 66 |
| 9 | GASTAUER Ben | 73 |
| 10 | MARTIN Dan | 59 |
| 11 | FRANK Mathias | 64 |