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 - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEVIN Patrick | 75 |
| 4 | DAY Benjamin | 68 |
| 5 | BLACKGROVE Heath | 65 |
| 7 | MILÁN Diego | 67 |
| 9 | SUTHERLAND Rory | 75 |
| 13 | SUMMERHILL Daniel | 70 |
| 20 | WHITE Bradley | 77 |
| 23 | FRATTINI Davide | 63 |
| 26 | JONES Carter | 64 |
| 30 | DAL-CIN Matteo | 77 |
| 42 | LEA Bobby | 77 |
| 71 | SÁNCHEZ Augusto | 72 |