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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BICKMORE Cade | 74 |
| 3 | MCDONALD Brody | 65 |
| 4 | CASTILLO Ulises Alfredo | 72 |
| 5 | PAREDES Wilmar | 66 |
| 7 | PRADO Ignacio de Jesús | 65 |
| 9 | STITES Tyler | 60 |
| 11 | MCDUNPHY Conn | 70 |
| 13 | FLANAGAN Liam | 67 |
| 20 | DUARTE Fabio | 55 |
| 22 | SHIPLEY Gabriel | 70 |
| 25 | MCGEOUGH Cormac | 76 |