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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Hinault
1
63 kgHøj
2
80 kgBreschel
3
70 kgSteegmans
4
82 kgZanotti
5
70 kg
1
63 kgHøj
2
80 kgBreschel
3
70 kgSteegmans
4
82 kgZanotti
5
70 kg
Weight (KG) →
Result →
82
63
1
5
# | Rider | Weight (KG) |
---|---|---|
1 | HINAULT Sébastien | 63 |
2 | HØJ Frank | 80 |
3 | BRESCHEL Matti | 70 |
4 | STEEGMANS Gert | 82 |
5 | ZANOTTI Marco | 70 |