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 = -44.8 * weight + 3824
This means that on average for every extra kilogram weight a rider loses -44.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | GODEFROOT Walter | 73 |
3 | MOSER Francesco | 79 |
990 | RITTER Ole | 74 |
990 | VAN IMPE Lucien | 59 |
990 | MARTIN Raymond | 62 |
990 | ZOETEMELK Joop | 68 |
990 | POULIDOR Raymond | 71 |
990 | OVION Régis | 64 |