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 = 1.4 * weight - 65
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Ramos
2
65 kgBulgarelli
7
69 kgSeabra
14
67 kgMiraballes
26
76 kgGrizante
50
79 kgArseno
59
71 kgNazaret
60
65 kg
2
65 kgBulgarelli
7
69 kgSeabra
14
67 kgMiraballes
26
76 kgGrizante
50
79 kgArseno
59
71 kgNazaret
60
65 kg
Weight (KG) →
Result →
79
65
2
60
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAMOS Kléber | 65 |
| 7 | BULGARELLI Otavio | 69 |
| 14 | SEABRA Renato | 67 |
| 26 | MIRABALLES Wilder Sergio | 76 |
| 50 | GRIZANTE André Luiz | 79 |
| 59 | ARSENO Alex | 71 |
| 60 | NAZARET Magno | 65 |