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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHRISTENSEN Ryan | 63 |
| 3 | O'CONNOR Ben | 67 |
| 7 | WILLIAMS Stephen | 59 |
| 8 | ORAM James | 68 |
| 11 | MCCORMICK Hayden | 72.5 |
| 12 | LAMPIER Steven | 68 |
| 13 | VINK Michael | 73 |
| 14 | SMITH Dion | 67 |