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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Berhane
1
66 kgOkubamariam
2
60 kgGhebreigzabhier
3
68 kgTeklehaimanot
9
70 kgKudus
10
58 kgAfewerki
11
63 kg
1
66 kgOkubamariam
2
60 kgGhebreigzabhier
3
68 kgTeklehaimanot
9
70 kgKudus
10
58 kgAfewerki
11
63 kg
Weight (KG) →
Result →
70
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHANE Natnael | 66 |
| 2 | OKUBAMARIAM Tesfom | 60 |
| 3 | GHEBREIGZABHIER Amanuel | 68 |
| 9 | TEKLEHAIMANOT Daniel | 70 |
| 10 | KUDUS Merhawi | 58 |
| 11 | AFEWERKI Elyas | 63 |