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 = -1.2 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
El Nadi
7
74 kgKorinek
11
69 kgGates
12
71 kgLjungblad
14
70 kgAdamsson
15
68 kg
7
74 kgKorinek
11
69 kgGates
12
71 kgLjungblad
14
70 kgAdamsson
15
68 kg
Weight (KG) →
Result →
74
68
7
15
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | EL NADI Amer | 74 |
| 11 | KORINEK Radim | 69 |
| 12 | GATES Nick | 71 |
| 14 | LJUNGBLAD Jonas | 70 |
| 15 | ADAMSSON Stefan | 68 |