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 + 150
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
Seabra
2
67 kgPanizo
7
72 kgPagliarini
23
68 kgMédici
24
70 kgRamos
27
65 kgMedina
29
65 kg
2
67 kgPanizo
7
72 kgPagliarini
23
68 kgMédici
24
70 kgRamos
27
65 kgMedina
29
65 kg
Weight (KG) →
Result →
72
65
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SEABRA Renato | 67 |
| 7 | PANIZO Gregolry | 72 |
| 23 | PAGLIARINI Luciano André | 68 |
| 24 | MÉDICI Matías | 70 |
| 27 | RAMOS Kléber | 65 |
| 29 | MEDINA Jose Alfredo | 65 |