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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Gayant
1
69 kgJalabert
4
66 kgCapelle
7
73 kgDuclos-Lassalle
11
73 kgVirenque
12
65 kgVerstrepen
19
66 kg
1
69 kgJalabert
4
66 kgCapelle
7
73 kgDuclos-Lassalle
11
73 kgVirenque
12
65 kgVerstrepen
19
66 kg
Weight (KG) →
Result →
73
65
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GAYANT Martial | 69 |
| 4 | JALABERT Laurent | 66 |
| 7 | CAPELLE Christophe | 73 |
| 11 | DUCLOS-LASSALLE Gilbert | 73 |
| 12 | VIRENQUE Richard | 65 |
| 19 | VERSTREPEN Johan | 66 |