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 = 0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GIMONDI Felice | 78 |
| 4 | MOSER Francesco | 79 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 7 | VANDI Alfio | 64 |
| 8 | MERCKX Eddy | 74 |
| 9 | RICCOMI Walter | 66 |
| 28 | LASA Miguel María | 68 |
| 37 | MARCUSSEN Jørgen | 70 |
| 38 | DÍAZ Ventura | 72 |
| 50 | SUTTER Ueli | 70 |
| 57 | KNUDSEN Knut | 79 |
| 68 | GAVAZZI Pierino | 67 |
| 69 | EDWARDS Phil | 80 |
| 71 | VAN LOOY Frans | 75 |
| 73 | PARECCHINI Aldo | 71 |
| 85 | ALGERI Pietro | 69 |