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 = 0.6 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Selander
1
72 kgRodas
2
68 kgOyarzún
6
66 kgBeyer
9
63 kgBarton
54
77 kgContreras
75
64 kg
1
72 kgRodas
2
68 kgOyarzún
6
66 kgBeyer
9
63 kgBarton
54
77 kgContreras
75
64 kg
Weight (KG) →
Result →
77
63
1
75
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SELANDER Bjorn | 72 |
| 2 | RODAS Manuel | 68 |
| 6 | OYARZÚN Carlos Iván | 66 |
| 9 | BEYER Chad | 63 |
| 54 | BARTON Chris | 77 |
| 75 | CONTRERAS Mario Wilfredo | 64 |