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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sweet
1
69 kgMagnusson
2
70 kgvan Heeswijk
3
73 kgBlaudzun
5
66 kgLafis
6
78 kgDietz
8
69 kgHøj
9
80 kg
1
69 kgMagnusson
2
70 kgvan Heeswijk
3
73 kgBlaudzun
5
66 kgLafis
6
78 kgDietz
8
69 kgHøj
9
80 kg
Weight (KG) →
Result →
80
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | MAGNUSSON Glenn | 70 |
| 3 | VAN HEESWIJK Max | 73 |
| 5 | BLAUDZUN Michael | 66 |
| 6 | LAFIS Michel | 78 |
| 8 | DIETZ Bert | 69 |
| 9 | HØJ Frank | 80 |