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 + 19
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kelly
2
77 kgHoste
3
76 kgLeMond
5
67 kgChiappucci
6
67 kgDuclos-Lassalle
17
73 kg
2
77 kgHoste
3
76 kgLeMond
5
67 kgChiappucci
6
67 kgDuclos-Lassalle
17
73 kg
Weight (KG) →
Result →
77
67
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | HOSTE Frank | 76 |
| 5 | LEMOND Greg | 67 |
| 6 | CHIAPPUCCI Claudio | 67 |
| 17 | DUCLOS-LASSALLE Gilbert | 73 |