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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Hoste
1
76 kgPriem
2
75 kgvan Vliet
4
65 kgRaas
13
72 kgPlanckaert
14
69 kgDemeyer
15
85 kg
1
76 kgPriem
2
75 kgvan Vliet
4
65 kgRaas
13
72 kgPlanckaert
14
69 kgDemeyer
15
85 kg
Weight (KG) →
Result →
85
65
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 2 | PRIEM Cees | 75 |
| 4 | VAN VLIET Leo | 65 |
| 13 | RAAS Jan | 72 |
| 14 | PLANCKAERT Eddy | 69 |
| 15 | DEMEYER Marc | 85 |