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 = 0.5 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Priem
15
75 kgGodefroot
17
73 kgVan Looy
18
75 kgParecchini
25
71 kgPijnen
28
72 kgDemeyer
30
85 kg
15
75 kgGodefroot
17
73 kgVan Looy
18
75 kgParecchini
25
71 kgPijnen
28
72 kgDemeyer
30
85 kg
Weight (KG) →
Result →
85
71
15
30
| # | Rider | Weight (KG) |
|---|---|---|
| 15 | PRIEM Cees | 75 |
| 17 | GODEFROOT Walter | 73 |
| 18 | VAN LOOY Frans | 75 |
| 25 | PARECCHINI Aldo | 71 |
| 28 | PIJNEN René | 72 |
| 30 | DEMEYER Marc | 85 |