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 = -0.8 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCABE Travis | 72 |
| 2 | DAL-CIN Matteo | 77 |
| 4 | JARAMILLO Daniel | 63 |
| 7 | HERNANDEZ Michael | 74 |
| 11 | MANCEBO Francisco | 64 |
| 16 | HUFFMAN Evan | 71 |
| 18 | BEYER Chad | 63 |
| 19 | KUSS Sepp | 61 |
| 20 | NORRIS Lachlan | 67 |
| 22 | CASTILLO Ulises Alfredo | 72 |
| 26 | GUAMÁ Byron | 61 |