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 = -0.8 * weight + 73
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Sterbini
6
72 kgKerby
10
71 kgTonelli
21
64 kgSchwarzmann
29
69 kgDonati
39
71 kg
6
72 kgKerby
10
71 kgTonelli
21
64 kgSchwarzmann
29
69 kgDonati
39
71 kg
Weight (KG) →
Result →
72
64
6
39
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | STERBINI Luca | 72 |
| 10 | KERBY Jordan | 71 |
| 21 | TONELLI Alessandro | 64 |
| 29 | SCHWARZMANN Michael | 69 |
| 39 | DONATI Alessandro | 71 |