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 = 0.6 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ZOETEMELK Joop | 68 |
| 8 | KREKELS Jan | 73 |
| 9 | VAN IMPE Lucien | 59 |
| 13 | POULIDOR Raymond | 71 |
| 15 | GODEFROOT Walter | 73 |
| 18 | DOLMAN Evert | 71 |
| 20 | MOURIOUX Jacques | 71 |
| 31 | SCHLECK Johny | 72 |
| 35 | MERCKX Eddy | 74 |
| 36 | GIMONDI Felice | 78 |
| 38 | SWERTS Roger | 75 |
| 45 | MORTENSEN Leif | 70 |
| 54 | PARENTEAU Jean-Pierre | 68 |
| 60 | TSCHAN Jürgen | 68 |
| 73 | PEFFGEN Wilfried | 67 |
| 85 | KARSTENS Gerben | 74 |