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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Halilaj
1
70 kgSolomon
3
66 kgOkubamariam
6
60 kgGalarreta
11
77 kgMusie
21
59 kgGhebreindrias
27
68 kg
1
70 kgSolomon
3
66 kgOkubamariam
6
60 kgGalarreta
11
77 kgMusie
21
59 kgGhebreindrias
27
68 kg
Weight (KG) →
Result →
77
59
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HALILAJ Redi | 70 |
| 3 | SOLOMON Zemenfes | 66 |
| 6 | OKUBAMARIAM Tesfom | 60 |
| 11 | GALARRETA David | 77 |
| 21 | MUSIE Saymon | 59 |
| 27 | GHEBREINDRIAS Amanuel Mengis | 68 |