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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEALY Ben | 65 |
| 2 | ROCHE Nicolas | 70 |
| 3 | O'MAHONY Darragh | 69 |
| 5 | FEELEY Daire | 59 |
| 7 | TOWNSEND Rory | 73 |
| 8 | MCDUNPHY Conn | 70 |
| 9 | DAWSON Christopher | 73 |
| 15 | RYAN Fintan | 70 |
| 20 | KEOGH Cian | 70 |
| 51 | DOYLE Leo | 69 |