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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Blijlevens
1
70 kgVerheyen
2
68 kgMcEwen
3
67 kgZabel
6
69 kgHammond
7
71 kgVansevenant
9
65 kg
1
70 kgVerheyen
2
68 kgMcEwen
3
67 kgZabel
6
69 kgHammond
7
71 kgVansevenant
9
65 kg
Weight (KG) →
Result →
71
65
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | VERHEYEN Geert | 68 |
| 3 | MCEWEN Robbie | 67 |
| 6 | ZABEL Erik | 69 |
| 7 | HAMMOND Roger | 71 |
| 9 | VANSEVENANT Wim | 65 |