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 = 1.2 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | NORRIS Lachlan | 67 |
| 3 | THOMSON Jay Robert | 75 |
| 4 | BLACKGROVE Heath | 65 |
| 5 | MATTHEWS Michael | 72 |
| 7 | YATES Jeremy | 73 |
| 8 | CRAWFORD Jai | 59 |
| 9 | BENNETT George | 58 |
| 10 | EARLE Nathan | 70 |
| 16 | CLARKE Will | 81 |
| 20 | RUDOLPH Malcolm | 69 |
| 40 | PHELAN Adam | 73 |
| 44 | VINK Michael | 73 |
| 46 | BAUER Jack | 74 |
| 48 | HAAS Nathan | 71 |
| 51 | NORTHEY Michael James | 69 |
| 61 | BAZZANA Alessandro | 63.5 |
| 70 | AVERY Clinton | 90 |