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 = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Arseno
1
71 kgSeabra
5
67 kgPanizo
7
72 kgMay
12
73 kgRamos
14
65 kgNicácio
19
72 kgBulgarelli
28
69 kg
1
71 kgSeabra
5
67 kgPanizo
7
72 kgMay
12
73 kgRamos
14
65 kgNicácio
19
72 kgBulgarelli
28
69 kg
Weight (KG) →
Result →
73
65
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARSENO Alex | 71 |
| 5 | SEABRA Renato | 67 |
| 7 | PANIZO Gregolry | 72 |
| 12 | MAY Márcio | 73 |
| 14 | RAMOS Kléber | 65 |
| 19 | NICÁCIO Pedro | 72 |
| 28 | BULGARELLI Otavio | 69 |