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 = 0.1 * weight + 26
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DERYCKE Germain | 70 |
| 14 | SCHULTE Gerrit | 85 |
| 20 | VAN LOOY Rik | 73 |
| 27 | OCKERS Stan | 61 |
| 44 | JANSSENS Marcel | 68 |
| 45 | CERAMI Pino | 72 |
| 47 | IMPANIS Raymond | 69 |
| 56 | VAN STEENBERGEN Rik | 83 |