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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PERRY Benjamin | 71 |
| 2 | OLIVEIRA Rui | 66 |
| 3 | WHITEHOUSE Daniel | 58 |
| 4 | BURKE Jack | 67 |
| 7 | ȚVETCOV Serghei | 69 |
| 9 | ROBERGE Adam | 72 |
| 11 | PICCOLI James | 65 |
| 12 | GARRISON Ian | 76 |
| 14 | SWIRBUL Keegan | 65 |
| 17 | MANNION Gavin | 58 |
| 18 | CLARKE Jonathan | 68 |
| 19 | CHRÉTIEN Charles-Étienne | 65 |
| 20 | VERMEULEN Alexey | 66 |
| 21 | NORRIS Lachlan | 67 |