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 = 1.1 * weight - 32
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Urkaregi
6
71 kgGoold
11
59 kgHewes
29
69 kgCampos
75
62 kgListwon
83
73 kg
6
71 kgGoold
11
59 kgHewes
29
69 kgCampos
75
62 kgListwon
83
73 kg
Weight (KG) →
Result →
73
59
6
83
# | Rider | Weight (KG) |
---|---|---|
6 | URKAREGI Eñaut | 71 |
11 | GOOLD Max | 59 |
29 | HEWES Alex | 69 |
75 | CAMPOS Martim | 62 |
83 | LISTWON Mikolaj | 73 |