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 + 16
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sandstød
1
74 kgHøj
2
80 kgVandborg
3
75 kgBlaudzun
4
66 kgBak
5
76 kgMortensen
6
70 kg
1
74 kgHøj
2
80 kgVandborg
3
75 kgBlaudzun
4
66 kgBak
5
76 kgMortensen
6
70 kg
Weight (KG) →
Result →
80
66
1
6
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SANDSTØD Michael | 74 |
| 2 | HØJ Frank | 80 |
| 3 | VANDBORG Brian Bach | 75 |
| 4 | BLAUDZUN Michael | 66 |
| 5 | BAK Lars Ytting | 76 |
| 6 | MORTENSEN Martin | 70 |