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 = -3.2 * weight + 240
This means that on average for every extra kilogram weight a rider loses -3.2 positions in the result.
Panizo
6
72 kgMédici
14
70 kgSeabra
22
67 kgMedina
29
65 kgRamos
30
65 kgPagliarini
37
68 kg
6
72 kgMédici
14
70 kgSeabra
22
67 kgMedina
29
65 kgRamos
30
65 kgPagliarini
37
68 kg
Weight (KG) →
Result →
72
65
6
37
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | PANIZO Gregolry | 72 |
| 14 | MÉDICI Matías | 70 |
| 22 | SEABRA Renato | 67 |
| 29 | MEDINA Jose Alfredo | 65 |
| 30 | RAMOS Kléber | 65 |
| 37 | PAGLIARINI Luciano André | 68 |