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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mugisha
5
62 kgManizabayo
6
72 kgMugisha
7
58 kgLozano
10
63 kgJulius
16
59 kgAraujo
17
68 kgLagab
18
63 kg
5
62 kgManizabayo
6
72 kgMugisha
7
58 kgLozano
10
63 kgJulius
16
59 kgAraujo
17
68 kgLagab
18
63 kg
Weight (KG) →
Result →
72
58
5
18
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MUGISHA Samuel | 62 |
| 6 | MANIZABAYO Eric | 72 |
| 7 | MUGISHA Moise | 58 |
| 10 | LOZANO David | 63 |
| 16 | JULIUS Jayde | 59 |
| 17 | ARAUJO Bruno | 68 |
| 18 | LAGAB Azzedine | 63 |