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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOMBARDI Giovanni | 73 |
| 2 | SVORADA Ján | 76 |
| 3 | MONCASSIN Frédéric | 73 |
| 7 | JALABERT Laurent | 66 |
| 8 | PLANCKAERT Jo | 70 |
| 9 | MARTINELLO Silvio | 71 |
| 10 | BARTOLI Michele | 65 |
| 12 | PETITO Roberto | 78 |
| 14 | ZAMANA Cezary | 74 |
| 15 | DURAND Jacky | 76 |