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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WANDAHL Frederik | 61 |
| 3 | HESSMANN Michel | 78 |
| 5 | BALLERSTEDT Maurice | 76 |
| 9 | WILKSCH Hannes | 62 |
| 10 | HUYS Branko | 77 |
| 13 | ASKEY Lewis | 75 |
| 15 | VERRE Alessandro | 59 |
| 18 | BETTENDORFF Loïc | 74 |
| 19 | GEORGE Alfred | 78 |
| 22 | BILYI Maksym | 56 |
| 23 | FRETIN Milan | 70 |
| 26 | SIMMONS Quinn | 73 |
| 28 | SCHMIDBAUER Maximilian | 69 |
| 30 | ŤOUPALÍK Jakub | 65 |
| 33 | GAŁKA Michał | 72 |