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 - 37
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Planckaert
1
69 kgSergeant
3
76 kgDe Wilde
7
70 kgvan der Poel
10
70 kgWampers
14
82 kgDernies
15
75 kg
1
69 kgSergeant
3
76 kgDe Wilde
7
70 kgvan der Poel
10
70 kgWampers
14
82 kgDernies
15
75 kg
Weight (KG) →
Result →
82
69
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 3 | SERGEANT Marc | 76 |
| 7 | DE WILDE Etienne | 70 |
| 10 | VAN DER POEL Adrie | 70 |
| 14 | WAMPERS Jean-Marie | 82 |
| 15 | DERNIES Michel | 75 |