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 + 76
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
De Wolf
1
75 kgDelgado
4
64 kgKelly
12
77 kgHerrera
27
57 kgBaronchelli
28
72 kgBernaudeau
37
64 kg
1
75 kgDelgado
4
64 kgKelly
12
77 kgHerrera
27
57 kgBaronchelli
28
72 kgBernaudeau
37
64 kg
Weight (KG) →
Result →
77
57
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WOLF Fons | 75 |
| 4 | DELGADO Pedro | 64 |
| 12 | KELLY Sean | 77 |
| 27 | HERRERA Luis Alberto | 57 |
| 28 | BARONCHELLI Gianbattista | 72 |
| 37 | BERNAUDEAU Jean-René | 64 |