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 = 42.6 * weight - 2101
This means that on average for every extra kilogram weight a rider loses 42.6 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | VAN IMPE Lucien | 59 |
990 | SCHLECK Johny | 72 |
990 | DIERICKX André | 74 |
990 | ZOETEMELK Joop | 68 |
990 | TAMAMES Agustín | 66 |
990 | DÍAZ Ventura | 72 |
990 | POULIDOR Raymond | 71 |
990 | BRACKE Ferdinand | 79 |
990 | GODEFROOT Walter | 73 |
990 | PARENTEAU Jean-Pierre | 68 |