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 - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BLIJLEVENS Jeroen | 70 |
| 2 | STRAZZER Massimo | 68 |
| 4 | POLLACK Olaf | 77 |
| 6 | PETACCHI Alessandro | 70 |
| 10 | HUSHOVD Thor | 83 |
| 12 | BÄCKSTEDT Magnus | 94 |
| 14 | MAGNUSSON Glenn | 70 |
| 15 | TANNER John | 70 |