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 = 21.9 * weight - 939
This means that on average for every extra kilogram weight a rider loses 21.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | POULIDOR Raymond | 71 |
| 6 | BRACKE Ferdinand | 79 |
| 7 | TAMAMES Agustín | 66 |
| 8 | VAN IMPE Lucien | 59 |
| 990 | SCHLECK Johny | 72 |
| 990 | DIERICKX André | 74 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | DÍAZ Ventura | 72 |
| 990 | GODEFROOT Walter | 73 |
| 990 | PARENTEAU Jean-Pierre | 68 |