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 = 1.2 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Afewerki
19
63 kgDebesay
22
64 kgBourgeois
26
61 kgBichlmann
37
72 kgHantzsch
43
62 kgCarstensen
46
69 kg
19
63 kgDebesay
22
64 kgBourgeois
26
61 kgBichlmann
37
72 kgHantzsch
43
62 kgCarstensen
46
69 kg
Weight (KG) →
Result →
72
61
19
46
| # | Rider | Weight (KG) |
|---|---|---|
| 19 | AFEWERKI Elyas | 63 |
| 22 | DEBESAY Mekseb | 64 |
| 26 | BOURGEOIS Guillaume | 61 |
| 37 | BICHLMANN Daniel | 72 |
| 43 | HANTZSCH Elmar | 62 |
| 46 | CARSTENSEN Lucas | 69 |