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 = 2.1 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLIOTT Malcolm | 76 |
| 2 | NEWTON Christopher | 69 |
| 5 | HEGREBERG Morten | 72 |
| 7 | KUKK Sigvard | 74 |
| 9 | TANNER John | 70 |
| 10 | KROTKÝ Rostislav | 73 |
| 13 | OJAVEE Mart | 80 |
| 16 | OLIPHANT Evan | 66 |
| 22 | WINN Julian | 70 |
| 45 | RASCH Gabriel | 72 |
| 82 | IRVINE Martyn | 80 |
| 108 | MANNING Paul | 76 |
| 116 | BELL Zach | 75 |
| 155 | FOX Morgan | 70 |