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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROCHE Nicolas | 70 |
| 2 | BRAMMEIER Matt | 72 |
| 3 | O'LOUGHLIN Michael | 72 |
| 4 | MCCONVEY Connor | 67 |
| 6 | DOWNEY Mark | 74 |
| 7 | FEELEY Daire | 59 |
| 8 | DUNBAR Eddie | 57 |
| 9 | MULLEN Ryan | 77 |
| 10 | DAWSON Christopher | 73 |
| 15 | TEGGART Matthew | 63 |
| 16 | MCDUNPHY Conn | 70 |
| 18 | O'MAHONY Darragh | 69 |