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 + 41
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MANCEBO Francisco | 64 |
| 4 | ROSSKOPF Joey | 74 |
| 5 | FRIEDMAN Michael | 82 |
| 6 | LOUDER Jeff | 73 |
| 8 | DAY Benjamin | 68 |
| 10 | MURPHY John | 81 |
| 11 | BEYER Chad | 63 |
| 17 | OLIPHANT Evan | 66 |
| 18 | REIJNEN Kiel | 63 |
| 27 | MENZIES Karl | 86 |
| 39 | RICHARDSON Simon | 75 |
| 46 | LAMPIER Steven | 68 |
| 47 | LLOYD Daniel | 70 |
| 49 | JENKINS Max | 63 |
| 58 | BARTON Chris | 77 |
| 59 | GAIMON Phillip | 67 |