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 = -4.8 * weight + 965
This means that on average for every extra kilogram weight a rider loses -4.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | SCHLECK Johny | 72 |
13 | KARSTENS Gerben | 74 |
18 | JANSSEN Jan | 76 |
19 | VASSEUR Alain | 67 |
20 | BRACKE Ferdinand | 79 |
990 | ABRAHAMIAN Stéphane | 57 |
990 | DALER Jiří | 85 |
990 | ROSIERS Roger | 78 |
990 | POULIDOR Raymond | 71 |
990 | PIJNEN René | 72 |
990 | PFENNINGER Louis | 70 |
990 | DIERICKX André | 74 |
990 | NIJDAM Henk | 75 |