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 = 1.2 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SUTTER Ueli | 70 |
| 4 | KUIPER Hennie | 69 |
| 8 | POLLENTIER Michel | 62 |
| 11 | HINAULT Bernard | 62 |
| 14 | MAERTENS Freddy | 65 |
| 17 | DIDIER Lucien | 67 |
| 34 | GAVAZZI Pierino | 67 |
| 36 | DEMEYER Marc | 85 |
| 41 | DEN HERTOG Fedor | 76 |
| 49 | SEFTON Clyde | 68 |