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 = 0.7 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Evans
1
64 kgO'Neill
2
72 kgDavis
17
60 kgDrew
24
72 kgGerrans
29
62 kgRowney
30
74 kgDavis
31
73 kgFox
42
70 kg
1
64 kgO'Neill
2
72 kgDavis
17
60 kgDrew
24
72 kgGerrans
29
62 kgRowney
30
74 kgDavis
31
73 kgFox
42
70 kg
Weight (KG) →
Result →
74
60
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EVANS Cadel | 64 |
| 2 | O'NEILL Nathan | 72 |
| 17 | DAVIS Scott | 60 |
| 24 | DREW Jamie Peter | 72 |
| 29 | GERRANS Simon | 62 |
| 30 | ROWNEY Paul | 74 |
| 31 | DAVIS Allan | 73 |
| 42 | FOX Morgan | 70 |