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 + 88
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAWLESS Chris | 72 |
| 3 | EVANS Brad | 70 |
| 4 | SMITH Dion | 67 |
| 7 | MCCORMICK Hayden | 72.5 |
| 10 | LAMPIER Steven | 68 |
| 11 | ORAM James | 68 |
| 17 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 20 | VINK Michael | 73 |
| 24 | O'CONNOR Ben | 67 |
| 25 | CHRISTENSEN Ryan | 63 |
| 31 | CULEY Marcus | 69 |
| 33 | WILLIAMS Stephen | 59 |
| 36 | SCHREURS Hamish | 69 |
| 40 | NEWBERY Dylan | 75 |
| 52 | VOLKERS Samuel | 67 |
| 69 | CLARK Boris | 68 |