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 - 13
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Duclos-Lassalle
2
73 kgvan Vliet
3
65 kgKelly
4
77 kgPriem
7
75 kgRoche
10
74 kg
2
73 kgvan Vliet
3
65 kgKelly
4
77 kgPriem
7
75 kgRoche
10
74 kg
Weight (KG) →
Result →
77
65
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUCLOS-LASSALLE Gilbert | 73 |
| 3 | VAN VLIET Leo | 65 |
| 4 | KELLY Sean | 77 |
| 7 | PRIEM Cees | 75 |
| 10 | ROCHE Stephen | 74 |