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) |
|---|---|---|
| 2 | MCCORMICK Hayden | 72.5 |
| 4 | GIBSON Matthew | 76 |
| 5 | SCOTT Cameron | 80 |
| 6 | STANNARD Robert | 74 |
| 7 | MUDGWAY Luke | 65 |
| 8 | KERBY Jordan | 71 |
| 11 | THIÈRY Cyrille | 67 |
| 12 | STEWART Thomas | 71 |
| 17 | VINK Michael | 73 |
| 20 | O'BRIEN Kelland | 79 |
| 21 | NEWBERY Dylan | 75 |
| 22 | ORAM James | 68 |