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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCABE Travis | 72 |
| 2 | CASTILLO Ulises Alfredo | 72 |
| 3 | ÁVILA Edwin | 61 |
| 4 | BOOKWALTER Brent | 70 |
| 5 | REIJNEN Kiel | 63 |
| 7 | CIMA Damiano | 70 |
| 8 | MURPHY Kyle | 67 |
| 9 | PONZI Simone | 63 |
| 10 | HUFFMAN Evan | 71 |
| 11 | BOUWMAN Koen | 60 |
| 13 | OLIVIER Daan | 64 |