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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Schmid
1
64 kgHuelamo
2
61 kgMoravec
3
74 kgKuiper
5
69 kgHubschmid
10
74 kg
1
64 kgHuelamo
2
61 kgMoravec
3
74 kgKuiper
5
69 kgHubschmid
10
74 kg
Weight (KG) →
Result →
74
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHMID Iwan | 64 |
| 2 | HUELAMO Jaime | 61 |
| 3 | MORAVEC Vlastimil | 74 |
| 5 | KUIPER Hennie | 69 |
| 10 | HUBSCHMID Bruno | 74 |