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 = -1.2 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEALY Ben | 65 |
| 2 | TOWNSEND Rory | 73 |
| 3 | BENNETT Sam | 73 |
| 4 | MULLEN Ryan | 77 |
| 8 | RAFFERTY Darren | 65 |
| 10 | DOYLE Leo | 69 |
| 13 | FEELEY Daire | 59 |
| 23 | YON HIN Daniel | 67 |
| 38 | MILLAR Stuart | 59 |