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 = 0.9 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAUER Jack | 74 |
| 2 | BLACKGROVE Heath | 65 |
| 3 | VINK Michael | 73 |
| 9 | BENNETT George | 58 |
| 10 | CHADWICK Glen Alan | 75 |
| 16 | EARLE Nathan | 70 |
| 17 | BEWLEY Sam | 81 |
| 18 | SERGENT Jesse | 76 |
| 22 | YATES Jeremy | 73 |
| 24 | BEVIN Patrick | 75 |
| 33 | LANDIS Floyd | 68 |
| 46 | NORTHEY Michael James | 69 |
| 50 | REID Robin | 62 |
| 78 | TREACEY David | 67 |
| 87 | BOND Hamish | 91 |