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 - 58
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Afewerki
6
63 kgBourgeois
25
61 kgDebesay
37
64 kgBichlmann
38
72 kgHantzsch
43
62 kgCarstensen
44
69 kg
6
63 kgBourgeois
25
61 kgDebesay
37
64 kgBichlmann
38
72 kgHantzsch
43
62 kgCarstensen
44
69 kg
Weight (KG) →
Result →
72
61
6
44
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | AFEWERKI Elyas | 63 |
| 25 | BOURGEOIS Guillaume | 61 |
| 37 | DEBESAY Mekseb | 64 |
| 38 | BICHLMANN Daniel | 72 |
| 43 | HANTZSCH Elmar | 62 |
| 44 | CARSTENSEN Lucas | 69 |