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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Riis
1
71 kgHamburger
2
58 kgOzers
3
73 kgHøj
5
80 kgNijdam
6
70 kgMeinert-Nielsen
7
73 kgMerckx
8
77 kg
1
71 kgHamburger
2
58 kgOzers
3
73 kgHøj
5
80 kgNijdam
6
70 kgMeinert-Nielsen
7
73 kgMerckx
8
77 kg
Weight (KG) →
Result →
80
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 2 | HAMBURGER Bo | 58 |
| 3 | OZERS Kaspars | 73 |
| 5 | HØJ Frank | 80 |
| 6 | NIJDAM Jelle | 70 |
| 7 | MEINERT-NIELSEN Peter | 73 |
| 8 | MERCKX Axel | 77 |