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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hoste
3
76 kgKelly
4
77 kgPlanckaert
5
69 kgLeMond
8
67 kgBauer
12
72 kgDuclos-Lassalle
14
73 kg
3
76 kgKelly
4
77 kgPlanckaert
5
69 kgLeMond
8
67 kgBauer
12
72 kgDuclos-Lassalle
14
73 kg
Weight (KG) →
Result →
77
67
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | HOSTE Frank | 76 |
| 4 | KELLY Sean | 77 |
| 5 | PLANCKAERT Eddy | 69 |
| 8 | LEMOND Greg | 67 |
| 12 | BAUER Steve | 72 |
| 14 | DUCLOS-LASSALLE Gilbert | 73 |