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 = 1.6 * weight - 104
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Planckaert
1
69 kgGlaus
2
67 kgDe Wilde
3
70 kgKelly
9
77 kgYates
18
74 kgRoche
20
74 kg
1
69 kgGlaus
2
67 kgDe Wilde
3
70 kgKelly
9
77 kgYates
18
74 kgRoche
20
74 kg
Weight (KG) →
Result →
77
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 2 | GLAUS Gilbert | 67 |
| 3 | DE WILDE Etienne | 70 |
| 9 | KELLY Sean | 77 |
| 18 | YATES Sean | 74 |
| 20 | ROCHE Stephen | 74 |