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 = 0.5 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZOETEMELK Joop | 68 |
| 4 | MERCKX Eddy | 74 |
| 5 | VAN IMPE Lucien | 59 |
| 7 | GIMONDI Felice | 78 |
| 9 | POULIDOR Raymond | 71 |
| 10 | MORTENSEN Leif | 70 |
| 15 | SWERTS Roger | 75 |
| 24 | TSCHAN Jürgen | 68 |
| 35 | PARENTEAU Jean-Pierre | 68 |
| 42 | SCHLECK Johny | 72 |
| 50 | KARSTENS Gerben | 74 |
| 52 | GODEFROOT Walter | 73 |
| 60 | MOURIOUX Jacques | 71 |
| 61 | KREKELS Jan | 73 |
| 62 | DOLMAN Evert | 71 |
| 71 | PEFFGEN Wilfried | 67 |