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 = -3.1 * weight + 233
This means that on average for every extra kilogram weight a rider loses -3.1 positions in the result.
Médici
2
70 kgPanizo
11
72 kgSeabra
21
67 kgMedina
25
65 kgRamos
37
65 kgPagliarini
55
68 kgArriagada
60
56 kg
2
70 kgPanizo
11
72 kgSeabra
21
67 kgMedina
25
65 kgRamos
37
65 kgPagliarini
55
68 kgArriagada
60
56 kg
Weight (KG) →
Result →
72
56
2
60
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MÉDICI Matías | 70 |
| 11 | PANIZO Gregolry | 72 |
| 21 | SEABRA Renato | 67 |
| 25 | MEDINA Jose Alfredo | 65 |
| 37 | RAMOS Kléber | 65 |
| 55 | PAGLIARINI Luciano André | 68 |
| 60 | ARRIAGADA Marcelo Ruben | 56 |