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 = 11.5 * weight - 105
This means that on average for every extra kilogram weight a rider loses 11.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | JANSSEN Jan | 76 |
| 4 | POULIDOR Raymond | 71 |
| 7 | ZOETEMELK Joop | 68 |
| 990 | KREKELS Jan | 73 |
| 990 | DIERICKX André | 74 |
| 990 | BRACKE Ferdinand | 79 |
| 990 | SWERTS Roger | 75 |
| 990 | KARSTENS Gerben | 74 |
| 990 | STEEVENS Harry | 73 |
| 990 | MORTENSEN Leif | 70 |
| 990 | DOLMAN Evert | 71 |
| 990 | VASSEUR Alain | 67 |
| 990 | JANSEN Harrie | 70 |
| 990 | PETTERSSON Sture | 75 |