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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Médici
5
70 kgRamos
10
65 kgMay
19
73 kgNicácio
28
72 kgArseno
32
71 kgQuadri
36
67 kg
5
70 kgRamos
10
65 kgMay
19
73 kgNicácio
28
72 kgArseno
32
71 kgQuadri
36
67 kg
Weight (KG) →
Result →
73
65
5
36
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MÉDICI Matías | 70 |
| 10 | RAMOS Kléber | 65 |
| 19 | MAY Márcio | 73 |
| 28 | NICÁCIO Pedro | 72 |
| 32 | ARSENO Alex | 71 |
| 36 | QUADRI Hernandes | 67 |