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 = 2.1 * weight - 134
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Planckaert
1
69 kgVanderaerden
3
74 kgDe Wolf
14
75 kgde Rooij
18
69 kgHoste
26
76 kgDernies
27
75 kgPriem
28
75 kg
1
69 kgVanderaerden
3
74 kgDe Wolf
14
75 kgde Rooij
18
69 kgHoste
26
76 kgDernies
27
75 kgPriem
28
75 kg
Weight (KG) →
Result →
76
69
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 3 | VANDERAERDEN Eric | 74 |
| 14 | DE WOLF Fons | 75 |
| 18 | DE ROOIJ Theo | 69 |
| 26 | HOSTE Frank | 76 |
| 27 | DERNIES Michel | 75 |
| 28 | PRIEM Cees | 75 |