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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Roche
1
74 kgMadiot
3
68 kgYates
5
74 kgGayant
9
69 kgDe Wilde
18
70 kg
1
74 kgMadiot
3
68 kgYates
5
74 kgGayant
9
69 kgDe Wilde
18
70 kg
Weight (KG) →
Result →
74
68
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Stephen | 74 |
| 3 | MADIOT Marc | 68 |
| 5 | YATES Sean | 74 |
| 9 | GAYANT Martial | 69 |
| 18 | DE WILDE Etienne | 70 |