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 = -1.7 * weight + 135
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOWSETT Alex | 75 |
| 2 | DENNIS Rohan | 72 |
| 3 | THOMAS Geraint | 71 |
| 4 | TUFT Svein | 77 |
| 5 | SERGENT Jesse | 76 |
| 6 | HEPBURN Michael | 77 |
| 7 | CUMMINGS Steve | 73 |
| 8 | MILLAR David | 79 |
| 9 | DURBRIDGE Luke | 78 |
| 11 | CHRISTIAN Mark | 72 |
| 14 | BELL Zach | 75 |
| 16 | DAVIES Scott | 66 |
| 17 | ROWE Luke | 72 |
| 18 | DROBISCH Till | 63 |
| 21 | LINCOLN Yannick | 75 |
| 32 | OSBORN Matthew | 64 |
| 52 | OSBORNE Sherwin | 59 |