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 = 1.9 * weight - 122
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Nazaret
1
65 kgSeabra
7
67 kgSchnaidt
9
70 kgNicácio
15
72 kgBulgarelli
19
69 kg
1
65 kgSeabra
7
67 kgSchnaidt
9
70 kgNicácio
15
72 kgBulgarelli
19
69 kg
Weight (KG) →
Result →
72
65
1
19
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 7 | SEABRA Renato | 67 |
| 9 | SCHNAIDT Fabian | 70 |
| 15 | NICÁCIO Pedro | 72 |
| 19 | BULGARELLI Otavio | 69 |