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 | BOUHANNI Nacer | 65 |
| 2 | HINAULT Sébastien | 63 |
| 3 | MARCATO Marco | 67 |
| 4 | TRONET Steven | 67 |
| 5 | SIMON Julien | 65 |
| 6 | PICHON Laurent | 69 |
| 7 | LEMOINE Cyril | 73 |
| 8 | GARCÍA Egoitz | 70 |
| 9 | FRIEDEMANN Matthias | 75 |
| 10 | GÈNE Yohann | 67 |