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 * weight + 89
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Demeyer
4
85 kgVan Looy
13
75 kgPriem
16
75 kgRaas
19
72 kgMaertens
22
65 kgGodefroot
25
73 kg
4
85 kgVan Looy
13
75 kgPriem
16
75 kgRaas
19
72 kgMaertens
22
65 kgGodefroot
25
73 kg
Weight (KG) →
Result →
85
65
4
25
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DEMEYER Marc | 85 |
| 13 | VAN LOOY Frans | 75 |
| 16 | PRIEM Cees | 75 |
| 19 | RAAS Jan | 72 |
| 22 | MAERTENS Freddy | 65 |
| 25 | GODEFROOT Walter | 73 |