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 - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BICKMORE Cade | 74 |
| 3 | MCDONALD Brody | 65 |
| 4 | PAREDES Wilmar | 66 |
| 6 | PRADO Ignacio de Jesús | 65 |
| 7 | BRENES Sebastian | 66 |
| 8 | STITES Tyler | 60 |
| 10 | MCDUNPHY Conn | 70 |
| 11 | CASTILLO Ulises Alfredo | 72 |
| 13 | FLANAGAN Liam | 67 |
| 19 | SHIPLEY Gabriel | 70 |
| 22 | MCGEOUGH Cormac | 76 |