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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mancebo
1
64 kgFriedemann
2
75 kgMeier
3
61 kgSutherland
4
75 kgHoule
5
72 kgde Maar
6
70 kgLewis
8
65 kgBeyer
10
63 kg
1
64 kgFriedemann
2
75 kgMeier
3
61 kgSutherland
4
75 kgHoule
5
72 kgde Maar
6
70 kgLewis
8
65 kgBeyer
10
63 kg
Weight (KG) →
Result →
75
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANCEBO Francisco | 64 |
| 2 | FRIEDEMANN Matthias | 75 |
| 3 | MEIER Christian | 61 |
| 4 | SUTHERLAND Rory | 75 |
| 5 | HOULE Hugo | 72 |
| 6 | DE MAAR Marc | 70 |
| 8 | LEWIS Craig | 65 |
| 10 | BEYER Chad | 63 |