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 = 0.5 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Madiot
1
68 kgDuclos-Lassalle
3
73 kgKelly
9
77 kgFignon
11
67 kgRoche
20
74 kg
1
68 kgDuclos-Lassalle
3
73 kgKelly
9
77 kgFignon
11
67 kgRoche
20
74 kg
Weight (KG) →
Result →
77
67
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MADIOT Marc | 68 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 9 | KELLY Sean | 77 |
| 11 | FIGNON Laurent | 67 |
| 20 | ROCHE Stephen | 74 |