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 = -2 * weight + 197
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BAUER Steve | 72 |
5 | LILHOLT Søren | 72 |
7 | GAYANT Martial | 69 |
13 | DUCLOS-LASSALLE Gilbert | 73 |
16 | SOLLEVELD Gerrit | 93 |
22 | RIIS Bjarne | 71 |
49 | HOSTE Frank | 76 |
61 | DURAND Jacky | 76 |
64 | TRINKLER Richard | 67 |
70 | DEMOL Dirk | 72 |
71 | RUÉ Gérard | 74 |
73 | SPEARS David | 63 |
80 | NIJDAM Jelle | 70 |
85 | BOMANS Carlo | 74 |
88 | MARIE Thierry | 68 |
99 | DE WILDE Etienne | 70 |
106 | WALTON Brian | 68 |