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 = 1.7 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Nazaret
5
65 kgSeabra
8
67 kgSchnaidt
9
70 kgNicácio
17
72 kgBulgarelli
22
69 kg
5
65 kgSeabra
8
67 kgSchnaidt
9
70 kgNicácio
17
72 kgBulgarelli
22
69 kg
Weight (KG) →
Result →
72
65
5
22
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NAZARET Magno | 65 |
| 8 | SEABRA Renato | 67 |
| 9 | SCHNAIDT Fabian | 70 |
| 17 | NICÁCIO Pedro | 72 |
| 22 | BULGARELLI Otavio | 69 |