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 = 0.3 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRIZEK Matthias | 74 |
| 2 | TEGGART Matthew | 63 |
| 4 | CABOT Jérémy | 76 |
| 6 | ČERNÝ Josef | 75 |
| 7 | RABITSCH Stephan | 69 |
| 8 | STEIMLE Jannik | 73 |
| 9 | WRIGHT Fred | 75 |
| 10 | QUAADE Rasmus | 77 |
| 11 | COLMAN Alex | 73 |