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 = -0.1 * weight + 26
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCLAY Daniel | 72 |
| 2 | DOULL Owain | 71 |
| 4 | YATES Simon | 58 |
| 5 | DUNNE Conor | 88 |
| 7 | YATES Adam | 58 |
| 10 | EDMONDSON Joshua | 62 |
| 24 | HOLMES Matthew | 67 |
| 27 | SHERRIFFS Chris | 58 |
| 52 | FERGUSON Grant | 64 |
| 53 | MAZZONE Tom | 74 |