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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 = -1.1 * weight + 116

This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# Rider Weight (KG)
1 HENDERSON Gregory75
2 LAGUTIN Sergey68
3 PATE Danny73
5 FACCI Mauro68
7 BRESCHEL Matti70
11 CRUZ Antonio66
12 ASTARLOA Igor61
14 ROBERTS Luke71
17 MENZIES Karl86
18 FRIEDMAN Michael82
20 O'LOUGHLIN David68
23 KLOSTERGAARD Kasper69
24 FRATTINI Davide63
25 MICHAELSEN Lars79
26 STEWART Jackson72
33 POWER Ciarán68
35 LOUDER Jeff73
38 PERON Andrea70
45 ZIRBEL Tom91
52 BLAUDZUN Michael66
54 DOMÍNGUEZ Iván72
64 BLACKGROVE Heath65
67 HOOGERLAND Johnny65
75 STEVIĆ Ivan66
79 BOOKWALTER Brent70
89 PARISIEN François64
91 CLARKE Hilton70
96 MITCHELL Glen70
98 GILBERT Martin73
104 PEDERSEN Martin62