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 = 0.7 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MOSER Francesco | 79 |
| 6 | KUIPER Hennie | 69 |
| 7 | BARONCHELLI Gianbattista | 72 |
| 9 | MAERTENS Freddy | 65 |
| 13 | POLLENTIER Michel | 62 |
| 18 | RICCOMI Walter | 66 |
| 23 | SCHEPERS Eddy | 60 |
| 32 | BOURREAU Bernard | 63 |
| 36 | DEMEYER Marc | 85 |
| 40 | MARCUSSEN Jørgen | 70 |
| 41 | EDWARDS Phil | 80 |
| 42 | BITTINGER René | 69 |
| 45 | SWERTS Roger | 75 |
| 50 | VAN KATWIJK Fons | 75 |