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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 3 | VAN LOOY Frans | 75 |
| 4 | MAERTENS Freddy | 65 |
| 5 | DEMEYER Marc | 85 |
| 6 | GODEFROOT Walter | 73 |
| 9 | DIERICKX André | 74 |
| 10 | POLLENTIER Michel | 62 |
| 17 | GILSON Roger | 70 |