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 = 1.6 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Afewerki
5
63 kgBourgeois
20
61 kgDebesay
36
64 kgBichlmann
37
72 kgHantzsch
41
62 kgCarstensen
44
69 kg
5
63 kgBourgeois
20
61 kgDebesay
36
64 kgBichlmann
37
72 kgHantzsch
41
62 kgCarstensen
44
69 kg
Weight (KG) →
Result →
72
61
5
44
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | AFEWERKI Elyas | 63 |
| 20 | BOURGEOIS Guillaume | 61 |
| 36 | DEBESAY Mekseb | 64 |
| 37 | BICHLMANN Daniel | 72 |
| 41 | HANTZSCH Elmar | 62 |
| 44 | CARSTENSEN Lucas | 69 |