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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MCCABE Travis | 72 |
| 3 | CANOLA Marco | 66 |
| 4 | KOCJAN Jure | 72 |
| 5 | JARAMILLO Daniel | 63 |
| 6 | WIPPERT Wouter | 75 |
| 8 | SUMMERHILL Daniel | 70 |
| 11 | MANNION Gavin | 58 |
| 14 | MORTON Lachlan | 62 |
| 16 | HORNER Chris | 70 |
| 17 | DAL-CIN Matteo | 77 |
| 19 | CHALAPUD Robinson | 63 |
| 20 | GAIMON Phillip | 67 |