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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Rué
1
74 kgGayant
4
69 kgDuclos-Lassalle
6
73 kgNevens
8
58 kgWeltz
17
65 kg
1
74 kgGayant
4
69 kgDuclos-Lassalle
6
73 kgNevens
8
58 kgWeltz
17
65 kg
Weight (KG) →
Result →
74
58
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUÉ Gérard | 74 |
| 4 | GAYANT Martial | 69 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | NEVENS Jan | 58 |
| 17 | WELTZ Johnny | 65 |