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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Blijlevens
1
70 kgZabel
2
69 kgFraser
3
71 kgFeys
4
80 kgVoskamp
5
75 kgWesemann
7
72 kg
1
70 kgZabel
2
69 kgFraser
3
71 kgFeys
4
80 kgVoskamp
5
75 kgWesemann
7
72 kg
Weight (KG) →
Result →
80
69
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | ZABEL Erik | 69 |
| 3 | FRASER Gordon | 71 |
| 4 | FEYS Wim | 80 |
| 5 | VOSKAMP Bart | 75 |
| 7 | WESEMANN Steffen | 72 |