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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | ZOETEMELK Joop | 68 |
6 | VAN DER POEL Adrie | 70 |
7 | MOSER Francesco | 79 |
8 | SERGEANT Marc | 76 |
11 | HOSTE Frank | 76 |
20 | DUCLOS-LASSALLE Gilbert | 73 |
21 | VANDERAERDEN Eric | 74 |
24 | KUIPER Hennie | 69 |
25 | RIIS Bjarne | 71 |
33 | VILAMAJO Jaime | 70 |
41 | ELLIOTT Malcolm | 76 |
42 | BREUKINK Erik | 70 |
46 | YATES Sean | 74 |
47 | SOLLEVELD Gerrit | 93 |