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 = -1.1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 3 | PATE Danny | 73 |
| 8 | POWER Ciarán | 68 |
| 11 | SULZBERGER Wesley | 65 |
| 12 | DOWNING Russell | 64 |
| 18 | BOOKWALTER Brent | 70 |
| 19 | CHADWICK Glen Alan | 75 |
| 21 | FRISCHKORN William | 68 |
| 38 | MEIER Christian | 61 |