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 = 4.6 * weight - 298
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WINN Julian | 70 |
| 3 | HEGREBERG Morten | 72 |
| 11 | OLIPHANT Evan | 66 |
| 12 | KUKK Sigvard | 74 |
| 13 | ELLIOTT Malcolm | 76 |
| 14 | OJAVEE Mart | 80 |
| 24 | KROTKÝ Rostislav | 73 |
| 28 | NEWTON Christopher | 69 |
| 40 | TANNER John | 70 |
| 45 | BELL Zach | 75 |
| 76 | RASCH Gabriel | 72 |
| 107 | MANNING Paul | 76 |
| 133 | IRVINE Martyn | 80 |