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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 = -0.9 * weight + 100

This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
# Rider Weight (KG)
1 EISEL Bernhard74
2 BORRAJO Alejandro Alberto76
4 LAGUTIN Sergey68
7 SUTHERLAND Rory75
9 PEDERSEN Martin62
13 ROBERTS Luke71
17 KING Edward78
18 TUFT Svein77
19 PINOTTI Marco67
20 ROLLIN Dominique83
21 WOHLBERG Eric63
25 JONES Chris64
28 PATE Danny73
29 VITORIA David74
30 HENDERSON Gregory75
31 O'LOUGHLIN David68
33 STEWART Jackson72
34 JOHANSEN Allan78
35 RANGEL Hector Hugo63
39 BLAUDZUN Michael66
42 KLOSTERGAARD Kasper69
43 DAY Benjamin68
46 PARISIEN François64
51 FRISCHKORN William68
53 HAMMOND Roger71
55 MCCANN David73
61 ZAPATA Javier de Jesús62
64 FRIEDMAN Michael82
66 FRATTINI Davide63
67 BAUMANN Eric72
68 POWER Ciarán68
73 MEIER Christian61