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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 2 | FEELEY Daire | 59 |
| 3 | MCDUNPHY Conn | 70 |
| 4 | TEGGART Matthew | 63 |
| 5 | DAWSON Christopher | 73 |
| 6 | ROCHE Nicolas | 70 |
| 7 | HEALY Ben | 65 |
| 10 | TOWNSEND Rory | 73 |
| 17 | MAGUIRE Andy | 78 |
| 19 | DOYLE Leo | 69 |
| 22 | KEOGH Cian | 70 |
| 28 | YON HIN Daniel | 67 |
| 29 | MILLAR Stuart | 59 |
| 36 | CROWLEY Liam | 78 |