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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ivanov
6
73 kgMifune
7
70 kgGilmore
8
67 kgPiziks
14
70 kgEeckhout
15
73 kgDe Wilde
17
70 kg
6
73 kgMifune
7
70 kgGilmore
8
67 kgPiziks
14
70 kgEeckhout
15
73 kgDe Wilde
17
70 kg
Weight (KG) →
Result →
73
67
6
17
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | IVANOV Sergei | 73 |
| 7 | MIFUNE Masahiko | 70 |
| 8 | GILMORE Matthew | 67 |
| 14 | PIZIKS Arvis | 70 |
| 15 | EECKHOUT Niko | 73 |
| 17 | DE WILDE Etienne | 70 |