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 = 1.2 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REIJNEN Kiel | 63 |
| 8 | EUSER Lucas | 56 |
| 9 | SUMMERHILL Daniel | 70 |
| 12 | ROSSKOPF Joey | 74 |
| 13 | ALZATE Carlos | 74 |
| 30 | DEIGNAN Philip | 65 |
| 56 | CLARKE Jonathan | 68 |
| 59 | CORELLA Rene | 75 |