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 = 3.1 * weight - 190
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLIN Dominique | 83 |
| 8 | ROTH Ryan | 70 |
| 11 | MARTIN Tony | 75 |
| 15 | CHAIGNEAU Robin | 80 |
| 17 | GRETSCH Patrick | 69 |
| 21 | NEWTON Christopher | 69 |
| 25 | MCCANN David | 73 |
| 44 | JAKIN Alo | 71 |
| 80 | IRVINE Martyn | 80 |
| 89 | BIAŁOBŁOCKI Marcin | 79 |
| 91 | OJAVEE Mart | 80 |
| 100 | SCANLON Mark | 79 |