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 + 15
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLACKGROVE Heath | 65 |
| 5 | SERGENT Jesse | 76 |
| 7 | YATES Jeremy | 73 |
| 11 | SCULLY Tom | 85 |
| 14 | ROULSTON Hayden | 81 |
| 19 | BENNETT George | 58 |
| 20 | ROLLIN Dominique | 83 |
| 25 | AVERY Clinton | 90 |
| 28 | NORTHEY Michael James | 69 |
| 40 | REID Robin | 62 |
| 41 | CHADWICK Glen Alan | 75 |
| 63 | BAUER Jack | 74 |
| 84 | GREENBERG Cory | 72 |
| 113 | BEWLEY Sam | 81 |