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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEYER Cameron | 70 |
| 2 | BOBRIDGE Jack | 65 |
| 3 | MATTHEWS Michael | 72 |
| 4 | DAY Benjamin | 68 |
| 5 | ANDERSON Jack | 68 |
| 6 | ROBERTS Luke | 71 |
| 9 | HANSEN Adam | 72 |
| 11 | CLARKE Will | 81 |
| 26 | VON HOFF Steele | 70 |