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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 3 | DANIEL Gregory | 64 |
| 4 | BEYER Chad | 63 |
| 5 | CRAVEN Dan | 75 |
| 6 | POWLESS Neilson | 67 |
| 7 | ROTH Ryan | 70 |
| 8 | OWEN Logan | 67 |
| 9 | PERRY Benjamin | 71 |
| 10 | VERSCHOOR Martijn | 74.5 |
| 11 | SAGIV Guy | 68 |
| 15 | BOILY David | 60 |
| 16 | VANDALE Danick | 63 |
| 17 | CATAFORD Alexander | 70 |