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 = -0.6 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Areruya
4
74 kgPellaud
7
70 kgKangangi
9
64 kgOkubamariam
13
60 kgMusie
14
59 kg
4
74 kgPellaud
7
70 kgKangangi
9
64 kgOkubamariam
13
60 kgMusie
14
59 kg
Weight (KG) →
Result →
74
59
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ARERUYA Joseph | 74 |
| 7 | PELLAUD Simon | 70 |
| 9 | KANGANGI Suleiman | 64 |
| 13 | OKUBAMARIAM Tesfom | 60 |
| 14 | MUSIE Saymon | 59 |