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 = -0.3 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | MOSER Francesco | 79 |
| 3 | DEMEYER Marc | 85 |
| 4 | DE VLAEMINCK Roger | 74 |
| 8 | GAVAZZI Pierino | 67 |
| 11 | HOSTE Frank | 76 |
| 16 | THALER Klaus-Peter | 60 |
| 22 | BITTINGER René | 69 |
| 33 | SUTTER Ueli | 70 |
| 36 | FERNÁNDEZ Juan | 68 |
| 51 | SCHUITEN Roy | 83 |
| 54 | EDWARDS Phil | 80 |
| 56 | RICCOMI Walter | 66 |
| 71 | JOURDAN Christian | 64 |