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 - 27
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Lauwers
1
76 kgEgli
2
72 kgDidier
6
71 kgvan Nek
7
80 kgStettler
9
81 kg
1
76 kgEgli
2
72 kgDidier
6
71 kgvan Nek
7
80 kgStettler
9
81 kg
Weight (KG) →
Result →
81
71
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAUWERS Stan | 76 |
| 2 | EGLI Paul | 72 |
| 6 | DIDIER Christophe | 71 |
| 7 | VAN NEK Piet | 80 |
| 9 | STETTLER Kurt | 81 |