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 - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PESCHEL Uwe | 72 |
| 2 | RICH Michael | 82 |
| 3 | VOIGT Jens | 76 |
| 4 | LIESE Thomas | 75 |
| 5 | GRABSCH Bert | 78 |
| 7 | BECKE Daniel | 75 |
| 8 | STEINHAUSER Tobias | 72 |
| 9 | BARTKO Robert | 78 |
| 15 | MÜLLER Martin | 79 |