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 = -1.3 * weight + 105
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Davis
2
73 kgFox
5
70 kgDrew
6
72 kgDavis
8
60 kgRowney
9
74 kgEvans
16
64 kgO'Neill
24
72 kgGerrans
50
62 kg
2
73 kgFox
5
70 kgDrew
6
72 kgDavis
8
60 kgRowney
9
74 kgEvans
16
64 kgO'Neill
24
72 kgGerrans
50
62 kg
Weight (KG) →
Result →
74
60
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DAVIS Allan | 73 |
| 5 | FOX Morgan | 70 |
| 6 | DREW Jamie Peter | 72 |
| 8 | DAVIS Scott | 60 |
| 9 | ROWNEY Paul | 74 |
| 16 | EVANS Cadel | 64 |
| 24 | O'NEILL Nathan | 72 |
| 50 | GERRANS Simon | 62 |