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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Duclos-Lassalle
2
73 kgvan den Hoek
3
77 kgRoche
7
74 kgPriem
9
75 kgYates
10
74 kg
2
73 kgvan den Hoek
3
77 kgRoche
7
74 kgPriem
9
75 kgYates
10
74 kg
Weight (KG) →
Result →
77
73
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | VAN DEN HOEK Aad | 77 |
| 7 | ROCHE Stephen | 74 |
| 9 | PRIEM Cees | 75 |
| 10 | YATES Sean | 74 |