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 = 1.7 * weight - 101
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Kudus
2
58 kgEyob
3
61 kgGhebreigzabhier
5
68 kgDebesay
13
64 kgTeklehaimanot
30
70 kg
2
58 kgEyob
3
61 kgGhebreigzabhier
5
68 kgDebesay
13
64 kgTeklehaimanot
30
70 kg
Weight (KG) →
Result →
70
58
2
30
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUDUS Merhawi | 58 |
| 3 | EYOB Metkel | 61 |
| 5 | GHEBREIGZABHIER Amanuel | 68 |
| 13 | DEBESAY Mekseb | 64 |
| 30 | TEKLEHAIMANOT Daniel | 70 |