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 + 34
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Hoste
2
76 kgGodefroot
8
73 kgPriem
11
75 kgRaas
16
72 kgDemeyer
19
85 kgBracke
21
79 kgSwerts
24
75 kgVan Impe
25
59 kg
2
76 kgGodefroot
8
73 kgPriem
11
75 kgRaas
16
72 kgDemeyer
19
85 kgBracke
21
79 kgSwerts
24
75 kgVan Impe
25
59 kg
Weight (KG) →
Result →
85
59
2
25
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HOSTE Frank | 76 |
| 8 | GODEFROOT Walter | 73 |
| 11 | PRIEM Cees | 75 |
| 16 | RAAS Jan | 72 |
| 19 | DEMEYER Marc | 85 |
| 21 | BRACKE Ferdinand | 79 |
| 24 | SWERTS Roger | 75 |
| 25 | VAN IMPE Lucien | 59 |