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 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ASCANI Luca | 75 |
| 1 | PINOTTI Marco | 67 |
| 2 | NIBALI Vincenzo | 65 |
| 3 | QUINZIATO Manuel | 74 |
| 4 | CELLI Luca | 69 |
| 5 | PRIAMO Matteo | 72 |
| 6 | DALL'ANTONIA Tiziano | 70 |
| 7 | ANDRIOTTO Dario | 68 |
| 8 | BRUSEGHIN Marzio | 70 |
| 9 | ERMETI Giairo | 60 |
| 13 | FRANZOI Enrico | 70 |
| 15 | MARANGONI Alan | 74 |
| 19 | CACCIA Diego | 70 |