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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEWART Jake | 66 |
| 2 | MORIN Emmanuel | 74 |
| 3 | BOUHANNI Nacer | 65 |
| 4 | DEVRIENDT Tom | 70 |
| 5 | TESSON Jason | 59 |
| 6 | MARIT Arne | 72 |
| 7 | MÜLLER Tobias | 64 |
| 8 | LIEPIŅŠ Emīls | 67 |
| 9 | CARDIS Romain | 72 |
| 10 | UHLIG Henri | 69 |
| 11 | GUÉGAN Maël | 71 |
| 12 | JARNET Maxime | 63 |
| 13 | VENTURINI Clément | 60 |
| 14 | KUDUS Merhawi | 58 |
| 15 | CALMEJANE Lilian | 70 |