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 = -0.6 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 5 | VON HOFF Steele | 70 |
| 10 | ARCHBOLD Shane | 79 |
| 11 | AVERY Clinton | 90 |
| 16 | SCULLY Tom | 85 |
| 18 | NORRIS Lachlan | 67 |
| 19 | NORTHEY Michael James | 69 |
| 24 | BENNETT George | 58 |
| 25 | GATE Aaron | 71 |
| 32 | PHELAN Adam | 73 |
| 33 | GUDSELL Timothy | 77 |
| 34 | HILL Benjamin | 67 |
| 37 | MCCARTHY Jay | 63 |
| 42 | VINK Michael | 73 |
| 49 | EARLY James | 65 |
| 51 | CHADWICK Glen Alan | 75 |
| 55 | RUDOLPH Malcolm | 69 |
| 79 | KERS Koos Jeroen | 71 |