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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:

result = -0.7 * weight + 74

This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
# Rider Weight (KG)
1 QUINZIATO Manuel74
3 LANG Sebastian77
5 FOTHEN Markus71
6 KRIVTSOV Yuriy72
7 VAN GOOLEN Jurgen70
8 LARSSON Gustav Erik77
10 SCANLON Mark79
11 GUSEV Vladimir67
12 BRÔCO Hernâni66
16 DEVOLDER Stijn72
17 TAMOURIDIS Ioannis70
19 MOURIS Jens91
22 VAN IMPE Kevin75
23 VALVERDE Alejandro61
24 POSTHUMA Joost76
27 PAULINHO Sérgio Miguel64
35 CAMAÑO Iker68
37 BODNAR Łukasz68
38 LOOSLI David71
41 KIRYIENKA Vasil69
46 VAITKUS Tomas75
47 SCHUMACHER Stefan71
50 GAZVODA Gregor72
52 KUSCHYNSKI Aleksandr65
54 CHAVANEL Sébastien77
57 SCHLECK Fränk65