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 = -0.7 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Skibby
1
70 kgSciandri
3
75 kgElliott
5
76 kgMauri
6
68 kgWeltz
11
65 kgUgrumov
15
58 kg
1
70 kgSciandri
3
75 kgElliott
5
76 kgMauri
6
68 kgWeltz
11
65 kgUgrumov
15
58 kg
Weight (KG) →
Result →
76
58
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SKIBBY Jesper | 70 |
| 3 | SCIANDRI Maximilian | 75 |
| 5 | ELLIOTT Malcolm | 76 |
| 6 | MAURI Melchor | 68 |
| 11 | WELTZ Johnny | 65 |
| 15 | UGRUMOV Piotr | 58 |