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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Scheirlinckx
1
78 kgWillems
2
67 kgGardeyn
5
75 kgVan Goolen
6
70 kgSchleck
7
65 kgCappelle
9
71 kgDe Schrooder
11
61 kg
1
78 kgWillems
2
67 kgGardeyn
5
75 kgVan Goolen
6
70 kgSchleck
7
65 kgCappelle
9
71 kgDe Schrooder
11
61 kg
Weight (KG) →
Result →
78
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHEIRLINCKX Staf | 78 |
| 2 | WILLEMS Frederik | 67 |
| 5 | GARDEYN Gorik | 75 |
| 6 | VAN GOOLEN Jurgen | 70 |
| 7 | SCHLECK Fränk | 65 |
| 9 | CAPPELLE Andy | 71 |
| 11 | DE SCHROODER Benny | 61 |