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 = -0.6 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Hubschmid
1
74 kgHolík
2
83 kgPriem
4
75 kgKuiper
8
69 kgSchür
12
74 kgSutter
13
70 kg
1
74 kgHolík
2
83 kgPriem
4
75 kgKuiper
8
69 kgSchür
12
74 kgSutter
13
70 kg
Weight (KG) →
Result →
83
69
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUBSCHMID Bruno | 74 |
| 2 | HOLÍK Alois | 83 |
| 4 | PRIEM Cees | 75 |
| 8 | KUIPER Hennie | 69 |
| 12 | SCHÜR Fritz | 74 |
| 13 | SUTTER Ueli | 70 |