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 - 14
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | PLANCKAERT Eddy | 69 |
3 | KELLY Sean | 77 |
8 | DE WOLF Fons | 75 |
9 | BERNAUDEAU Jean-René | 64 |
12 | BARONCHELLI Gianbattista | 72 |
14 | WINNEN Peter | 60 |
20 | DE ROOIJ Theo | 69 |
21 | INDURÁIN Miguel | 76 |
31 | DELGADO Pedro | 64 |
41 | DUCLOS-LASSALLE Gilbert | 73 |
72 | YATES Sean | 74 |