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 = 0.4 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Duclos-Lassalle
1
73 kgNijdam
3
70 kgZoetemelk
4
68 kgLilholt
7
72 kgMeinert-Nielsen
9
73 kg
1
73 kgNijdam
3
70 kgZoetemelk
4
68 kgLilholt
7
72 kgMeinert-Nielsen
9
73 kg
Weight (KG) →
Result →
73
68
1
9
# | Rider | Weight (KG) |
---|---|---|
1 | DUCLOS-LASSALLE Gilbert | 73 |
3 | NIJDAM Jelle | 70 |
4 | ZOETEMELK Joop | 68 |
7 | LILHOLT Søren | 72 |
9 | MEINERT-NIELSEN Peter | 73 |