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 = -1.5 * weight + 117
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Hoste
2
76 kgDe Vlaeminck
6
74 kgPlanckaert
7
69 kgDe Wilde
11
70 kgMaertens
21
65 kg
2
76 kgDe Vlaeminck
6
74 kgPlanckaert
7
69 kgDe Wilde
11
70 kgMaertens
21
65 kg
Weight (KG) →
Result →
76
65
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOSTE Frank | 76 |
| 6 | DE VLAEMINCK Roger | 74 |
| 7 | PLANCKAERT Eddy | 69 |
| 11 | DE WILDE Etienne | 70 |
| 21 | MAERTENS Freddy | 65 |