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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMIDT Fabien | 63 |
| 2 | NABERMAN Tim | 70 |
| 3 | MADRAZO Ángel | 61 |
| 4 | BAGDONAS Gediminas | 78 |
| 6 | HOFSTETTER Hugo | 66 |
| 8 | REUTIMANN Matthias | 71 |
| 9 | GOUAULT Pierre | 61 |
| 10 | JAUREGUI Quentin | 60 |
| 11 | SIMON Julien | 65 |
| 12 | VAUGRENARD Benoît | 72 |
| 13 | ARMIRAIL Bruno | 72 |
| 14 | QUÉMÉNEUR Perrig | 67 |
| 15 | DUVAL Julien | 68 |
| 17 | SARREAU Marc | 76 |
| 18 | FEILLU Brice | 69 |
| 19 | GAREL Adrien | 77 |