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 = 1.3 * weight - 49
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Nazaret
1
65 kgOyarzún
10
66 kgSeabra
11
67 kgPagliarini
49
68 kgBorrajo
71
76 kgGil Martinez
72
60 kg
1
65 kgOyarzún
10
66 kgSeabra
11
67 kgPagliarini
49
68 kgBorrajo
71
76 kgGil Martinez
72
60 kg
Weight (KG) →
Result →
76
60
1
72
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NAZARET Magno | 65 |
| 10 | OYARZÚN Carlos Iván | 66 |
| 11 | SEABRA Renato | 67 |
| 49 | PAGLIARINI Luciano André | 68 |
| 71 | BORRAJO Alejandro Alberto | 76 |
| 72 | GIL MARTINEZ Tomas Aurelio | 60 |