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) |
|---|---|---|
| 3 | SERGENT Jesse | 76 |
| 6 | ROLLIN Dominique | 83 |
| 7 | BLACKGROVE Heath | 65 |
| 10 | ROULSTON Hayden | 81 |
| 12 | YATES Jeremy | 73 |
| 16 | BENNETT George | 58 |
| 17 | CHADWICK Glen Alan | 75 |
| 21 | BAUER Jack | 74 |
| 44 | REID Robin | 62 |
| 45 | NORTHEY Michael James | 69 |
| 58 | SCULLY Tom | 85 |
| 59 | BEWLEY Sam | 81 |
| 93 | GREENBERG Cory | 72 |