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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sergeant
5
76 kgWampers
6
82 kgSolleveld
7
93 kgvan der Poel
11
70 kgDe Wilde
14
70 kgPlanckaert
15
69 kg
5
76 kgWampers
6
82 kgSolleveld
7
93 kgvan der Poel
11
70 kgDe Wilde
14
70 kgPlanckaert
15
69 kg
Weight (KG) →
Result →
93
69
5
15
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SERGEANT Marc | 76 |
| 6 | WAMPERS Jean-Marie | 82 |
| 7 | SOLLEVELD Gerrit | 93 |
| 11 | VAN DER POEL Adrie | 70 |
| 14 | DE WILDE Etienne | 70 |
| 15 | PLANCKAERT Eddy | 69 |