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 = 0.8 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
LeMond
2
67 kgRoche
5
74 kgDuclos-Lassalle
8
73 kgGayant
10
69 kgKelly
14
77 kg
2
67 kgRoche
5
74 kgDuclos-Lassalle
8
73 kgGayant
10
69 kgKelly
14
77 kg
Weight (KG) →
Result →
77
67
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEMOND Greg | 67 |
| 5 | ROCHE Stephen | 74 |
| 8 | DUCLOS-LASSALLE Gilbert | 73 |
| 10 | GAYANT Martial | 69 |
| 14 | KELLY Sean | 77 |