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 = 1.2 * weight - 56
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARTIN Tony | 75 |
| 3 | ROTH Ryan | 70 |
| 4 | ROLLIN Dominique | 83 |
| 14 | NEWTON Christopher | 69 |
| 22 | BIAŁOBŁOCKI Marcin | 79 |
| 29 | MCCANN David | 73 |
| 31 | OJAVEE Mart | 80 |
| 37 | GRETSCH Patrick | 69 |
| 41 | CHAIGNEAU Robin | 80 |
| 52 | JAKIN Alo | 71 |
| 55 | SCANLON Mark | 79 |
| 94 | IRVINE Martyn | 80 |