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 = 1.6 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Mitteregger
1
68 kgGilson
5
70 kgSchür
6
74 kgKoslar
11
69 kgHumenberger
12
73 kgBurkhard
20
75 kg
1
68 kgGilson
5
70 kgSchür
6
74 kgKoslar
11
69 kgHumenberger
12
73 kgBurkhard
20
75 kg
Weight (KG) →
Result →
75
68
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MITTEREGGER Rudolf | 68 |
| 5 | GILSON Roger | 70 |
| 6 | SCHÜR Fritz | 74 |
| 11 | KOSLAR Dieter | 69 |
| 12 | HUMENBERGER Roman | 73 |
| 20 | BURKHARD Ebert | 75 |