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 = 58.9 * weight - 3710
This means that on average for every extra kilogram weight a rider loses 58.9 positions in the result.
Schür
4
74 kgGilson
5
70 kgMitteregger
10
68 kgKoslar
990
69 kgBurkhard
990
75 kgHumenberger
990
73 kg
4
74 kgGilson
5
70 kgMitteregger
10
68 kgKoslar
990
69 kgBurkhard
990
75 kgHumenberger
990
73 kg
Weight (KG) →
Result →
75
68
4
990
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SCHÜR Fritz | 74 |
| 5 | GILSON Roger | 70 |
| 10 | MITTEREGGER Rudolf | 68 |
| 990 | KOSLAR Dieter | 69 |
| 990 | BURKHARD Ebert | 75 |
| 990 | HUMENBERGER Roman | 73 |