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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALDAG Rolf | 75 |
| 2 | PUGACI Igor | 67 |
| 3 | BERTOGLIATI Rubens | 73 |
| 4 | CALCAGNI Patrick | 65 |
| 5 | KLIER Andreas | 72 |
| 6 | HERVÉ Cédric | 60 |
| 7 | BOTCHAROV Alexandre | 54 |
| 8 | MATVEYEV Sergiy | 78 |
| 9 | CLAIN Médéric | 59 |
| 10 | AUGÉ Stéphane | 65 |
| 11 | CARUSO Giampaolo | 60 |
| 12 | PETITO Roberto | 78 |
| 14 | VICIOSO Ángel | 60 |
| 15 | TOSATTO Matteo | 74 |
| 16 | BÄCKSTEDT Magnus | 94 |