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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCOTT Cameron | 80 |
| 3 | GIBSON Matthew | 76 |
| 6 | THIÈRY Cyrille | 67 |
| 7 | MCCORMICK Hayden | 72.5 |
| 9 | MUDGWAY Luke | 65 |
| 10 | STANNARD Robert | 74 |
| 13 | VINK Michael | 73 |
| 17 | NEWBERY Dylan | 75 |
| 20 | FREIBERG Michael | 82 |
| 21 | KERBY Jordan | 71 |