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 = 0.3 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCKX Eddy | 74 |
| 2 | GIMONDI Felice | 78 |
| 3 | POULIDOR Raymond | 71 |
| 4 | VAN IMPE Lucien | 59 |
| 5 | ZOETEMELK Joop | 68 |
| 12 | MORTENSEN Leif | 70 |
| 14 | SWERTS Roger | 75 |
| 30 | SCHLECK Johny | 72 |
| 38 | PARENTEAU Jean-Pierre | 68 |
| 44 | GODEFROOT Walter | 73 |
| 45 | TSCHAN Jürgen | 68 |
| 58 | MOURIOUX Jacques | 71 |
| 60 | KARSTENS Gerben | 74 |
| 63 | PEFFGEN Wilfried | 67 |
| 78 | KREKELS Jan | 73 |
| 83 | DOLMAN Evert | 71 |