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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Roche
2
74 kgDuclos-Lassalle
3
73 kgHinault
4
62 kgKelly
6
77 kgHoste
8
76 kg
2
74 kgDuclos-Lassalle
3
73 kgHinault
4
62 kgKelly
6
77 kgHoste
8
76 kg
Weight (KG) →
Result →
77
62
2
8
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROCHE Stephen | 74 |
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 4 | HINAULT Bernard | 62 |
| 6 | KELLY Sean | 77 |
| 8 | HOSTE Frank | 76 |