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 = 83.1 * weight - 5446
This means that on average for every extra kilogram weight a rider loses 83.1 positions in the result.
Humenberger
1
73 kgMitteregger
2
68 kgGilson
7
70 kgKoslar
990
69 kgBurkhard
990
75 kgSchür
990
74 kg
1
73 kgMitteregger
2
68 kgGilson
7
70 kgKoslar
990
69 kgBurkhard
990
75 kgSchür
990
74 kg
Weight (KG) →
Result →
75
68
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUMENBERGER Roman | 73 |
| 2 | MITTEREGGER Rudolf | 68 |
| 7 | GILSON Roger | 70 |
| 990 | KOSLAR Dieter | 69 |
| 990 | BURKHARD Ebert | 75 |
| 990 | SCHÜR Fritz | 74 |