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 = 1.3 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Ramos
3
65 kgBulgarelli
14
69 kgMiraballes
21
76 kgSeabra
22
67 kgGrizante
52
79 kgNazaret
54
65 kgArseno
64
71 kg
3
65 kgBulgarelli
14
69 kgMiraballes
21
76 kgSeabra
22
67 kgGrizante
52
79 kgNazaret
54
65 kgArseno
64
71 kg
Weight (KG) →
Result →
79
65
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAMOS Kléber | 65 |
| 14 | BULGARELLI Otavio | 69 |
| 21 | MIRABALLES Wilder Sergio | 76 |
| 22 | SEABRA Renato | 67 |
| 52 | GRIZANTE André Luiz | 79 |
| 54 | NAZARET Magno | 65 |
| 64 | ARSENO Alex | 71 |