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 = 2.2 * weight - 124
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Henrion
1
60 kgDruyts
3
62 kgDe Vocht
6
61 kgSels
8
65 kgCant
12
57 kgD'hoore
25
63 kgVan Loy
38
65 kg
1
60 kgDruyts
3
62 kgDe Vocht
6
61 kgSels
8
65 kgCant
12
57 kgD'hoore
25
63 kgVan Loy
38
65 kg
Weight (KG) →
Result →
65
57
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HENRION Ludivine | 60 |
| 3 | DRUYTS Kelly | 62 |
| 6 | DE VOCHT Liesbet | 61 |
| 8 | SELS Loes | 65 |
| 12 | CANT Sanne | 57 |
| 25 | D'HOORE Jolien | 63 |
| 38 | VAN LOY Ellen | 65 |