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 = -0.4 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAGUTIN Sergey | 68 |
| 3 | PATE Danny | 73 |
| 8 | POWER Ciarán | 68 |
| 13 | CHADWICK Glen Alan | 75 |
| 14 | TUFT Svein | 77 |
| 16 | ZIRBEL Tom | 91 |
| 17 | BOOKWALTER Brent | 70 |
| 26 | KING Edward | 78 |
| 27 | DOWNING Russell | 64 |
| 28 | ROTH Ryan | 70 |
| 30 | MEIER Christian | 61 |
| 32 | SULZBERGER Wesley | 65 |