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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Ghebreigzabhier
1
68 kgLagab
4
63 kgChaabane
5
70 kgAfewerki
8
63 kgChaoufi
10
65 kgDebesay
13
64 kgLahsaini
17
77 kg
1
68 kgLagab
4
63 kgChaabane
5
70 kgAfewerki
8
63 kgChaoufi
10
65 kgDebesay
13
64 kgLahsaini
17
77 kg
Weight (KG) →
Result →
77
63
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GHEBREIGZABHIER Amanuel | 68 |
| 4 | LAGAB Azzedine | 63 |
| 5 | CHAABANE Hichem | 70 |
| 8 | AFEWERKI Elyas | 63 |
| 10 | CHAOUFI Tarik | 65 |
| 13 | DEBESAY Mekseb | 64 |
| 17 | LAHSAINI Mouhssine | 77 |