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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Marie
1
68 kgDuclos-Lassalle
3
73 kgMoreau
4
77 kgRoche
5
74 kgMuseeuw
6
71 kg
1
68 kgDuclos-Lassalle
3
73 kgMoreau
4
77 kgRoche
5
74 kgMuseeuw
6
71 kg
Weight (KG) →
Result →
77
68
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIE Thierry | 68 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | MOREAU Francis | 77 |
| 5 | ROCHE Stephen | 74 |
| 6 | MUSEEUW Johan | 71 |