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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Riis
1
71 kgSkibby
2
70 kgHamburger
3
58 kgMeinert-Nielsen
4
73 kgBäckstedt
8
94 kg
1
71 kgSkibby
2
70 kgHamburger
3
58 kgMeinert-Nielsen
4
73 kgBäckstedt
8
94 kg
Weight (KG) →
Result →
94
58
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 2 | SKIBBY Jesper | 70 |
| 3 | HAMBURGER Bo | 58 |
| 4 | MEINERT-NIELSEN Peter | 73 |
| 8 | BÄCKSTEDT Magnus | 94 |