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 - 81
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Seabra
1
67 kgRamos
4
65 kgPanizo
8
72 kgMay
10
73 kgArseno
12
71 kgBulgarelli
16
69 kgNicácio
20
72 kg
1
67 kgRamos
4
65 kgPanizo
8
72 kgMay
10
73 kgArseno
12
71 kgBulgarelli
16
69 kgNicácio
20
72 kg
Weight (KG) →
Result →
73
65
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEABRA Renato | 67 |
| 4 | RAMOS Kléber | 65 |
| 8 | PANIZO Gregolry | 72 |
| 10 | MAY Márcio | 73 |
| 12 | ARSENO Alex | 71 |
| 16 | BULGARELLI Otavio | 69 |
| 20 | NICÁCIO Pedro | 72 |