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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mugisha
4
62 kgLozano
5
63 kgManizabayo
7
72 kgMugisha
8
58 kgAraujo
14
68 kgJulius
18
59 kgLagab
19
63 kg
4
62 kgLozano
5
63 kgManizabayo
7
72 kgMugisha
8
58 kgAraujo
14
68 kgJulius
18
59 kgLagab
19
63 kg
Weight (KG) →
Result →
72
58
4
19
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MUGISHA Samuel | 62 |
| 5 | LOZANO David | 63 |
| 7 | MANIZABAYO Eric | 72 |
| 8 | MUGISHA Moise | 58 |
| 14 | ARAUJO Bruno | 68 |
| 18 | JULIUS Jayde | 59 |
| 19 | LAGAB Azzedine | 63 |