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 + 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 3 | PATE Danny | 73 |
| 7 | POWER Ciarán | 68 |
| 10 | DOWNING Russell | 64 |
| 12 | SULZBERGER Wesley | 65 |
| 15 | BOOKWALTER Brent | 70 |
| 16 | CHADWICK Glen Alan | 75 |
| 22 | TUFT Svein | 77 |
| 34 | KING Edward | 78 |
| 35 | ROTH Ryan | 70 |
| 38 | MEIER Christian | 61 |