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 = 0.3 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DURBRIDGE Luke | 78 |
| 2 | HEPBURN Michael | 77 |
| 3 | MCCARTHY Jay | 63 |
| 4 | HOWSON Damien | 68 |
| 7 | DENNIS Rohan | 72 |
| 8 | FREIBERG Michael | 82 |
| 9 | PARKER Dale | 65 |
| 10 | MORTON Lachlan | 62 |
| 14 | DYBALL Benjamin | 63 |
| 16 | SPOKES Samuel | 63 |
| 19 | FLAKEMORE Campbell | 72 |
| 23 | DOUGALL Nic | 72 |
| 28 | VANSTONE Justin | 67 |
| 43 | JONES Brenton | 81 |