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 = -1.6 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Panizo
7
72 kgSeabra
20
67 kgRamos
34
65 kgPagliarini
37
68 kgArriagada
47
56 kgMédici
53
70 kgMedina
56
65 kg
7
72 kgSeabra
20
67 kgRamos
34
65 kgPagliarini
37
68 kgArriagada
47
56 kgMédici
53
70 kgMedina
56
65 kg
Weight (KG) →
Result →
72
56
7
56
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | PANIZO Gregolry | 72 |
| 20 | SEABRA Renato | 67 |
| 34 | RAMOS Kléber | 65 |
| 37 | PAGLIARINI Luciano André | 68 |
| 47 | ARRIAGADA Marcelo Ruben | 56 |
| 53 | MÉDICI Matías | 70 |
| 56 | MEDINA Jose Alfredo | 65 |