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 = 1.1 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Bomans
2
74 kgGayant
3
69 kgvan der Poel
8
70 kgNijdam
14
70 kgIlegems
22
74 kg
2
74 kgGayant
3
69 kgvan der Poel
8
70 kgNijdam
14
70 kgIlegems
22
74 kg
Weight (KG) →
Result →
74
69
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BOMANS Carlo | 74 |
| 3 | GAYANT Martial | 69 |
| 8 | VAN DER POEL Adrie | 70 |
| 14 | NIJDAM Jelle | 70 |
| 22 | ILEGEMS Roger | 74 |