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 = 1.6 * weight - 86
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | LAMPIER Steven | 68 |
| 6 | ORAM James | 68 |
| 8 | WILLIAMS Stephen | 59 |
| 12 | O'CONNOR Ben | 67 |
| 13 | VOLKERS Samuel | 67 |
| 23 | MCCORMICK Hayden | 72.5 |
| 24 | SMITH Dion | 67 |
| 30 | VINK Michael | 73 |
| 31 | EVANS Brad | 70 |
| 32 | CHRISTENSEN Ryan | 63 |
| 33 | LAWLESS Chris | 72 |
| 41 | NEWBERY Dylan | 75 |
| 45 | SCHREURS Hamish | 69 |
| 49 | CULEY Marcus | 69 |