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 + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MULLEN Ryan | 77 |
| 8 | MARTIN Dan | 59 |
| 15 | DUNNE Conor | 88 |
| 16 | CLANCY Stephen | 63 |
| 17 | MACANALLY Ryan | 68 |
| 26 | IRVINE Martyn | 80 |
| 30 | MCCONVEY Connor | 67 |
| 39 | BRAMMEIER Matt | 72 |