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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Yates
1
74 kgDe Wilde
3
70 kgKelly
6
77 kgPlanckaert
7
69 kgKuiper
10
69 kgRué
13
74 kg
1
74 kgDe Wilde
3
70 kgKelly
6
77 kgPlanckaert
7
69 kgKuiper
10
69 kgRué
13
74 kg
Weight (KG) →
Result →
77
69
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Sean | 74 |
| 3 | DE WILDE Etienne | 70 |
| 6 | KELLY Sean | 77 |
| 7 | PLANCKAERT Eddy | 69 |
| 10 | KUIPER Hennie | 69 |
| 13 | RUÉ Gérard | 74 |