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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fignon
3
67 kgMadiot
6
68 kgKelly
9
77 kgDuclos-Lassalle
20
73 kgRoche
21
74 kgBourreau
25
63 kg
3
67 kgMadiot
6
68 kgKelly
9
77 kgDuclos-Lassalle
20
73 kgRoche
21
74 kgBourreau
25
63 kg
Weight (KG) →
Result →
77
63
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FIGNON Laurent | 67 |
| 6 | MADIOT Marc | 68 |
| 9 | KELLY Sean | 77 |
| 20 | DUCLOS-LASSALLE Gilbert | 73 |
| 21 | ROCHE Stephen | 74 |
| 25 | BOURREAU Bernard | 63 |