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 = 3.8 * weight - 238
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Seabra
2
67 kgBulgarelli
4
69 kgNazaret
6
65 kgArseno
37
71 kgRamos
48
65 kgMiraballes
63
76 kgGrizante
68
79 kg
2
67 kgBulgarelli
4
69 kgNazaret
6
65 kgArseno
37
71 kgRamos
48
65 kgMiraballes
63
76 kgGrizante
68
79 kg
Weight (KG) →
Result →
79
65
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEABRA Renato | 67 |
| 4 | BULGARELLI Otavio | 69 |
| 6 | NAZARET Magno | 65 |
| 37 | ARSENO Alex | 71 |
| 48 | RAMOS Kléber | 65 |
| 63 | MIRABALLES Wilder Sergio | 76 |
| 68 | GRIZANTE André Luiz | 79 |