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 = -1.9 * weight + 191
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | AVERY Clinton | 90 |
| 15 | HENDERSON Gregory | 75 |
| 17 | ROULSTON Hayden | 81 |
| 27 | CHAPMAN Joe | 78 |
| 43 | SERGENT Jesse | 76 |
| 56 | NORTHEY Michael James | 69 |
| 75 | FOWLER Brian | 71 |
| 85 | BEWLEY Sam | 81 |