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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Perry
1
71 kgLe Huitouze
2
71 kgQuarterman
4
75 kgVitzthum
5
70 kgBerhe
6
58 kg
1
71 kgLe Huitouze
2
71 kgQuarterman
4
75 kgVitzthum
5
70 kgBerhe
6
58 kg
Weight (KG) →
Result →
75
58
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERRY Benjamin | 71 |
| 2 | LE HUITOUZE Eddy | 71 |
| 4 | QUARTERMAN Charlie | 75 |
| 5 | VITZTHUM Simon | 70 |
| 6 | BERHE Welay Hagos | 58 |