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 + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRAMMEIER Matt | 72 |
| 2 | MARTIN Dan | 59 |
| 3 | MCCANN David | 73 |
| 4 | ROCHE Nicolas | 70 |
| 5 | BENNETT Sam | 73 |
| 8 | IRVINE Martyn | 80 |
| 15 | MCCONVEY Connor | 67 |
| 23 | DUNNE Conor | 88 |
| 43 | CLANCY Stephen | 63 |