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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TALANSKY Andrew | 63 |
| 2 | KING Ben | 68 |
| 4 | ZIRBEL Tom | 91 |
| 6 | DANIEL Gregory | 64 |
| 7 | BUSCHE Matthew | 69 |
| 9 | HUFFMAN Evan | 71 |
| 11 | MURPHY Kyle | 67 |
| 16 | WHITE Curtis | 70 |
| 17 | JENKINS Max | 63 |
| 20 | FLAUTT Oliver | 68 |