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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Grabsch
1
78 kgBartko
3
78 kgGreipel
4
80 kgBengsch
6
85 kgMüller
8
69 kgBommel
9
75 kg
1
78 kgBartko
3
78 kgGreipel
4
80 kgBengsch
6
85 kgMüller
8
69 kgBommel
9
75 kg
Weight (KG) →
Result →
85
69
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRABSCH Bert | 78 |
| 3 | BARTKO Robert | 78 |
| 4 | GREIPEL André | 80 |
| 6 | BENGSCH Robert | 85 |
| 8 | MÜLLER Christian | 69 |
| 9 | BOMMEL Henning | 75 |