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 = -2.5 * weight + 215
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Médici
8
70 kgRamos
24
65 kgMay
28
73 kgQuadri
30
67 kgNicácio
53
72 kgFiorilli
65
63 kgArseno
68
71 kgBarbosa
86
63 kg
8
70 kgRamos
24
65 kgMay
28
73 kgQuadri
30
67 kgNicácio
53
72 kgFiorilli
65
63 kgArseno
68
71 kgBarbosa
86
63 kg
Weight (KG) →
Result →
73
63
8
86
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | MÉDICI Matías | 70 |
| 24 | RAMOS Kléber | 65 |
| 28 | MAY Márcio | 73 |
| 30 | QUADRI Hernandes | 67 |
| 53 | NICÁCIO Pedro | 72 |
| 65 | FIORILLI Tiago | 63 |
| 68 | ARSENO Alex | 71 |
| 86 | BARBOSA Pedro | 63 |