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 = 1.4 * weight - 61
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Afewerki
16
63 kgBourgeois
22
61 kgDebesay
27
64 kgBichlmann
37
72 kgHantzsch
41
62 kgCarstensen
44
69 kg
16
63 kgBourgeois
22
61 kgDebesay
27
64 kgBichlmann
37
72 kgHantzsch
41
62 kgCarstensen
44
69 kg
Weight (KG) →
Result →
72
61
16
44
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | AFEWERKI Elyas | 63 |
| 22 | BOURGEOIS Guillaume | 61 |
| 27 | DEBESAY Mekseb | 64 |
| 37 | BICHLMANN Daniel | 72 |
| 41 | HANTZSCH Elmar | 62 |
| 44 | CARSTENSEN Lucas | 69 |