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 = -1.8 * weight + 160
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Médici
6
70 kgMay
27
73 kgQuadri
31
67 kgNicácio
38
72 kgArseno
44
71 kgRamos
52
65 kg
6
70 kgMay
27
73 kgQuadri
31
67 kgNicácio
38
72 kgArseno
44
71 kgRamos
52
65 kg
Weight (KG) →
Result →
73
65
6
52
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MÉDICI Matías | 70 |
| 27 | MAY Márcio | 73 |
| 31 | QUADRI Hernandes | 67 |
| 38 | NICÁCIO Pedro | 72 |
| 44 | ARSENO Alex | 71 |
| 52 | RAMOS Kléber | 65 |