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 = 0.9 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAGUTIN Sergey | 68 |
| 3 | PATE Danny | 73 |
| 8 | POWER Ciarán | 68 |
| 14 | BOOKWALTER Brent | 70 |
| 15 | DOWNING Russell | 64 |
| 16 | CHADWICK Glen Alan | 75 |
| 21 | SULZBERGER Wesley | 65 |
| 22 | MEIER Christian | 61 |
| 33 | FRISCHKORN William | 68 |
| 36 | TUFT Svein | 77 |
| 37 | VEILLEUX David | 75 |
| 48 | ROTH Ryan | 70 |
| 56 | RANGEL Hector Hugo | 63 |
| 57 | ZIRBEL Tom | 91 |
| 60 | WHITE Matthew | 72 |