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.
Okubamariam
2
60 kgGhebreindrias
4
68 kgSolomon
10
66 kgMusie
17
59 kgGalarreta
26
77 kgHalilaj
32
70 kgJulius
41
59 kg
2
60 kgGhebreindrias
4
68 kgSolomon
10
66 kgMusie
17
59 kgGalarreta
26
77 kgHalilaj
32
70 kgJulius
41
59 kg
Weight (KG) →
Result →
77
59
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OKUBAMARIAM Tesfom | 60 |
| 4 | GHEBREINDRIAS Amanuel Mengis | 68 |
| 10 | SOLOMON Zemenfes | 66 |
| 17 | MUSIE Saymon | 59 |
| 26 | GALARRETA David | 77 |
| 32 | HALILAJ Redi | 70 |
| 41 | JULIUS Jayde | 59 |