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 = 0.4 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 4 | GODEFROOT Walter | 73 |
| 5 | MAERTENS Freddy | 65 |
| 8 | ROSIERS Roger | 78 |
| 14 | MORTENSEN Leif | 70 |
| 21 | OVION Régis | 64 |
| 26 | POULIDOR Raymond | 71 |
| 34 | DEMEYER Marc | 85 |
| 37 | VAN LOOY Frans | 75 |
| 40 | VASSEUR Alain | 67 |
| 46 | KUIPER Hennie | 69 |
| 50 | LLOYD Dave | 76 |