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 = -62.8 * weight + 5355
This means that on average for every extra kilogram weight a rider loses -62.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
3 | BRACKE Ferdinand | 79 |
4 | DIERICKX André | 74 |
9 | KARSTENS Gerben | 74 |
990 | ZOETEMELK Joop | 68 |
990 | KREKELS Jan | 73 |
990 | MERCKX Eddy | 74 |
990 | POULIDOR Raymond | 71 |
990 | SWERTS Roger | 75 |
990 | STEEVENS Harry | 73 |
990 | MORTENSEN Leif | 70 |
990 | JANSSEN Jan | 76 |
990 | DOLMAN Evert | 71 |
990 | VASSEUR Alain | 67 |
990 | JANSEN Harrie | 70 |
990 | PETTERSSON Sture | 75 |