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 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUNBAR Eddie | 57 |
| 3 | DUNNE Conor | 88 |
| 4 | MCCONVEY Connor | 67 |
| 7 | CLANCY Stephen | 63 |
| 16 | IRVINE Martyn | 80 |
| 19 | BRAMMEIER Matt | 72 |
| 25 | HENRY Conor | 60 |
| 31 | FEELEY Daire | 59 |
| 59 | DOWNEY Mark | 74 |