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 = 0.6 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Wampers
1
82 kgFarazijn
5
69 kgPlanckaert
6
70 kgLilholt
7
72 kgSergeant
14
76 kgHoffman
28
80 kg
1
82 kgFarazijn
5
69 kgPlanckaert
6
70 kgLilholt
7
72 kgSergeant
14
76 kgHoffman
28
80 kg
Weight (KG) →
Result →
82
69
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAMPERS Jean-Marie | 82 |
| 5 | FARAZIJN Peter | 69 |
| 6 | PLANCKAERT Jo | 70 |
| 7 | LILHOLT Søren | 72 |
| 14 | SERGEANT Marc | 76 |
| 28 | HOFFMAN Tristan | 80 |