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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JARAMILLO Daniel | 63 |
| 3 | GUAMÁ Byron | 61 |
| 4 | HUFFMAN Evan | 71 |
| 5 | KUSS Sepp | 61 |
| 8 | MANNION Gavin | 58 |
| 11 | NARVÁEZ Jhonatan | 65 |
| 12 | DAL-CIN Matteo | 77 |
| 13 | PICCOLI James | 65 |
| 14 | NORRIS Lachlan | 67 |
| 15 | ȚVETCOV Serghei | 69 |
| 16 | CEPEDA Jefferson Alexander | 56 |
| 18 | ACEVEDO Janier | 63 |
| 21 | MCCABE Travis | 72 |