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 = 0.5 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EARLE Nathan | 70 |
| 3 | NORRIS Lachlan | 67 |
| 8 | GATE Aaron | 71 |
| 9 | HILL Benjamin | 67 |
| 10 | PHELAN Adam | 73 |
| 14 | BENNETT George | 58 |
| 15 | RUDOLPH Malcolm | 69 |
| 22 | CHADWICK Glen Alan | 75 |
| 24 | GUDSELL Timothy | 77 |
| 25 | NORTHEY Michael James | 69 |