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.
Duclos-Lassalle
1
73 kgBourreau
4
63 kgDe Wilde
6
70 kgKelly
15
77 kgKuiper
22
69 kg
1
73 kgBourreau
4
63 kgDe Wilde
6
70 kgKelly
15
77 kgKuiper
22
69 kg
Weight (KG) →
Result →
77
63
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | BOURREAU Bernard | 63 |
| 6 | DE WILDE Etienne | 70 |
| 15 | KELLY Sean | 77 |
| 22 | KUIPER Hennie | 69 |