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 = 0.8 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARONCHELLI Gianbattista | 72 |
| 3 | MOSER Francesco | 79 |
| 5 | SARONNI Giuseppe | 65 |
| 7 | VANDI Alfio | 64 |
| 9 | JOHANSSON Bernt | 71 |
| 10 | SUTTER Ueli | 70 |
| 11 | GIMONDI Felice | 78 |
| 21 | RICCOMI Walter | 66 |
| 31 | MARTINELLI Giuseppe | 74 |
| 34 | BIDDLE Bruce | 64 |
| 44 | SCHUITEN Roy | 83 |
| 49 | ALGERI Vittorio | 68 |
| 63 | GAVAZZI Pierino | 67 |
| 66 | MARTINEZ Paulino | 80 |
| 69 | EDWARDS Phil | 80 |
| 90 | ALGERI Pietro | 69 |