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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hinault
1
62 kgKelly
2
77 kgRoche
3
74 kgFignon
4
67 kgWechselberger
8
71 kgDuclos-Lassalle
11
73 kg
1
62 kgKelly
2
77 kgRoche
3
74 kgFignon
4
67 kgWechselberger
8
71 kgDuclos-Lassalle
11
73 kg
Weight (KG) →
Result →
77
62
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | KELLY Sean | 77 |
| 3 | ROCHE Stephen | 74 |
| 4 | FIGNON Laurent | 67 |
| 8 | WECHSELBERGER Helmut | 71 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |