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 - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAERTENS Freddy | 65 |
| 2 | POLLENTIER Michel | 62 |
| 4 | RAAS Jan | 72 |
| 5 | SWERTS Roger | 75 |
| 6 | PRIEM Cees | 75 |
| 11 | KARSTENS Gerben | 74 |
| 17 | DEMEYER Marc | 85 |
| 19 | KNUDSEN Knut | 79 |
| 22 | GODEFROOT Walter | 73 |
| 27 | HERMANS Gustaaf | 71 |
| 36 | KREKELS Jan | 73 |