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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Planckaert
2
69 kgKelly
3
77 kgGlaus
12
67 kgRoche
16
74 kgDe Wilde
17
70 kg
2
69 kgKelly
3
77 kgGlaus
12
67 kgRoche
16
74 kgDe Wilde
17
70 kg
Weight (KG) →
Result →
77
67
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PLANCKAERT Eddy | 69 |
| 3 | KELLY Sean | 77 |
| 12 | GLAUS Gilbert | 67 |
| 16 | ROCHE Stephen | 74 |
| 17 | DE WILDE Etienne | 70 |