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 = 1.7 * weight - 108
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLLENTIER Michel | 62 |
| 2 | VAN IMPE Lucien | 59 |
| 4 | SUTTER Ueli | 70 |
| 12 | MERCKX Eddy | 74 |
| 14 | KUIPER Hennie | 69 |
| 27 | BRACKE Ferdinand | 79 |
| 34 | ROSIERS Roger | 78 |
| 47 | DEMEYER Marc | 85 |