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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GATE Aaron | 71 |
| 3 | SEXTON Tom | 71 |
| 5 | SCHULTZ Elliot | 62 |
| 6 | WATTS Kiaan | 72 |
| 7 | LANE WELSH Tali | 70 |
| 12 | JONES Ollie | 75 |
| 13 | GRAVE Oliver | 69 |
| 14 | HEFFERNAN William | 60 |
| 15 | CAVANAGH Ryan | 72 |
| 18 | NIQUET-OLDEN Bentley | 75 |
| 24 | CHRISTENSEN Ryan | 63 |