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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOPP David | 68 |
| 4 | MANNING Paul | 76 |
| 5 | MCCANN David | 73 |
| 7 | GREIPEL André | 80 |
| 12 | KNEES Christian | 81 |
| 13 | O'LOUGHLIN David | 68 |
| 14 | SCANLON Mark | 79 |
| 19 | WINN Julian | 70 |
| 33 | CUMMINGS Steve | 73 |