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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HORVAT Žiga | 70 |
| 2 | WIRTGEN Tom | 77 |
| 3 | KUKRLE Michael | 73 |
| 5 | GROŠELJ Matic | 70 |
| 6 | BÁRTA Jan | 75 |
| 7 | KRIZEK Matthias | 74 |
| 8 | EEKHOFF Nils | 75 |
| 9 | MEILER Lukas | 65 |
| 10 | BANUSCH Richard | 78 |
| 11 | LAVERACK Edward | 62 |