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 + 51
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIPPERT Wouter | 75 |
| 2 | MURPHY John | 81 |
| 3 | HOWES Alex | 61 |
| 5 | HUFFMAN Evan | 71 |
| 6 | KUSS Sepp | 61 |
| 7 | HERNANDEZ Michael | 74 |
| 8 | SLAGTER Tom-Jelte | 57 |
| 10 | CÔTÉ Pier-André | 74 |
| 11 | MACANALLY Ryan | 68 |
| 13 | PUTT Tanner | 75 |
| 14 | ȚVETCOV Serghei | 69 |
| 16 | JONES Chris | 64 |
| 17 | NORRIS Lachlan | 67 |
| 18 | BURKE Jack | 67 |
| 24 | SEVILLA Óscar | 62 |
| 29 | CATAFORD Alexander | 70 |
| 30 | PICCOLI James | 65 |
| 32 | STITES Tyler | 60 |