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 = 0.9 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Médici
14
70 kgRamos
16
65 kgMay
32
73 kgNicácio
35
72 kgArseno
55
71 kgQuadri
56
67 kg
14
70 kgRamos
16
65 kgMay
32
73 kgNicácio
35
72 kgArseno
55
71 kgQuadri
56
67 kg
Weight (KG) →
Result →
73
65
14
56
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | MÉDICI Matías | 70 |
| 16 | RAMOS Kléber | 65 |
| 32 | MAY Márcio | 73 |
| 35 | NICÁCIO Pedro | 72 |
| 55 | ARSENO Alex | 71 |
| 56 | QUADRI Hernandes | 67 |