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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bower
1
63 kgBarbier
4
69 kgFox
5
71 kgVan Hautegem
7
64 kgGeorge
9
78 kgNeuman
10
72 kgHeijnen
15
66 kg
1
63 kgBarbier
4
69 kgFox
5
71 kgVan Hautegem
7
64 kgGeorge
9
78 kgNeuman
10
72 kgHeijnen
15
66 kg
Weight (KG) →
Result →
78
63
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOWER Lewis | 63 |
| 4 | BARBIER Pierre | 69 |
| 5 | FOX Matthew | 71 |
| 7 | VAN HAUTEGEM Leander | 64 |
| 9 | GEORGE Alfred | 78 |
| 10 | NEUMAN Dominik | 72 |
| 15 | HEIJNEN Philip | 66 |