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 = 5.2 * weight - 332
This means that on average for every extra kilogram weight a rider loses 5.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NEWTON Christopher | 69 |
| 2 | ELLIOTT Malcolm | 76 |
| 4 | HEGREBERG Morten | 72 |
| 7 | OLIPHANT Evan | 66 |
| 8 | RASCH Gabriel | 72 |
| 9 | TANNER John | 70 |
| 17 | KROTKÝ Rostislav | 73 |
| 24 | KUKK Sigvard | 74 |
| 33 | WINN Julian | 70 |
| 51 | MANNING Paul | 76 |
| 67 | OJAVEE Mart | 80 |
| 131 | IRVINE Martyn | 80 |
| 160 | BELL Zach | 75 |
| 176 | FOX Morgan | 70 |