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 = -2.7 * weight + 260
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AVERY Clinton | 90 |
| 3 | ROULSTON Hayden | 81 |
| 28 | CHAPMAN Joe | 78 |
| 52 | BEWLEY Sam | 81 |
| 53 | NORTHEY Michael James | 69 |
| 56 | REID Robin | 62 |
| 104 | FOWLER Brian | 71 |
| 112 | HENDERSON Gregory | 75 |
| 114 | SERGENT Jesse | 76 |