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 = 0.3 * weight - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTANGELJ Gorazd | 70 |
| 2 | HERVÉ Pascal | 62 |
| 3 | LASTRAS Pablo | 68 |
| 5 | GIUNTI Massimo | 62 |
| 6 | IVANOV Ruslan | 71 |
| 9 | MAGNANI Marco | 64 |
| 10 | BRIGNOLI Ermanno | 78 |
| 12 | CARRARA Matteo | 67 |
| 15 | PINOTTI Marco | 67 |
| 16 | LATASA David | 66 |
| 21 | ORTENZI Gian Mario | 78 |
| 22 | KOHUT Sławomir | 65 |