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 + 64
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Kelly
10
77 kgMujika
15
73 kgSchepers
16
60 kgAlonso
17
70 kgHerrera
23
57 kgEarley
34
62 kg
10
77 kgMujika
15
73 kgSchepers
16
60 kgAlonso
17
70 kgHerrera
23
57 kgEarley
34
62 kg
Weight (KG) →
Result →
77
57
10
34
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | KELLY Sean | 77 |
| 15 | MUJIKA Jokin | 73 |
| 16 | SCHEPERS Eddy | 60 |
| 17 | ALONSO Marino | 70 |
| 23 | HERRERA Luis Alberto | 57 |
| 34 | EARLEY Martin | 62 |