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 = 0.2 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Sørensen
1
70 kgDurand
2
76 kgMagnien
3
68 kgBortolami
4
73 kgMoreau
5
77 kg
1
70 kgDurand
2
76 kgMagnien
3
68 kgBortolami
4
73 kgMoreau
5
77 kg
Weight (KG) →
Result →
77
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SØRENSEN Rolf | 70 |
| 2 | DURAND Jacky | 76 |
| 3 | MAGNIEN Emmanuel | 68 |
| 4 | BORTOLAMI Gianluca | 73 |
| 5 | MOREAU Francis | 77 |