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 + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MATTHEWS Michael | 72 |
| 3 | RUDOLPH Malcolm | 69 |
| 11 | CLARKE Will | 81 |
| 17 | NORTHEY Michael James | 69 |
| 18 | PHELAN Adam | 73 |
| 20 | BLACKGROVE Heath | 65 |
| 21 | BAUER Jack | 74 |
| 24 | EARLE Nathan | 70 |
| 27 | VINK Michael | 73 |
| 31 | THOMSON Jay Robert | 75 |
| 32 | YATES Jeremy | 73 |
| 33 | BENNETT George | 58 |
| 37 | CRAWFORD Jai | 59 |
| 38 | NORRIS Lachlan | 67 |
| 54 | HAAS Nathan | 71 |
| 62 | BAZZANA Alessandro | 63.5 |
| 68 | AVERY Clinton | 90 |