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 + 43
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Blanco
1
66 kgJalabert
2
66 kgJiménez
3
70 kgLaiseka
5
63 kgHeras
7
59 kgBeltrán
9
60 kg
1
66 kgJalabert
2
66 kgJiménez
3
70 kgLaiseka
5
63 kgHeras
7
59 kgBeltrán
9
60 kg
Weight (KG) →
Result →
70
59
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | BLANCO Santiago | 66 |
2 | JALABERT Laurent | 66 |
3 | JIMÉNEZ José María | 70 |
5 | LAISEKA Roberto | 63 |
7 | HERAS Roberto | 59 |
9 | BELTRÁN Manuel | 60 |