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 = -1.4 * weight + 114
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TARLING Joshua | 78 |
| 2 | WRIGHT Fred | 75 |
| 3 | SWIFT Connor | 75 |
| 4 | TANFIELD Charlie | 80 |
| 5 | VERNON Ethan | 74 |
| 6 | ARCHIBALD John | 79 |
| 7 | BIGHAM Daniel | 75 |
| 9 | ASKEY Lewis | 75 |
| 11 | PERRETT William | 72 |
| 12 | QUARTERMAN Charlie | 75 |
| 15 | KYFFIN Zeb | 72 |
| 20 | ROBERTS William | 69 |