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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Steels
1
73 kgHushovd
3
83 kgPlanckaert
7
70 kgO'Grady
9
73 kgEeckhout
10
73 kg
1
73 kgHushovd
3
83 kgPlanckaert
7
70 kgO'Grady
9
73 kgEeckhout
10
73 kg
Weight (KG) →
Result →
83
70
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEELS Tom | 73 |
| 3 | HUSHOVD Thor | 83 |
| 7 | PLANCKAERT Jo | 70 |
| 9 | O'GRADY Stuart | 73 |
| 10 | EECKHOUT Niko | 73 |