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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 = -2.4 * weight + 206

This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
# Rider Weight (KG)
3 KRITSKIY Timofey81
4 VERMELTFOORT Coen85
7 VAN WINDEN Dennis70
8 DOCKER Mitchell73
9 SCHORN Daniel72
11 DRUCKER Jempy75
13 BRÄNDLE Matthias80
15 PANTANO Jarlinson61
16 PORSEV Alexander80
18 KREDER Michel67
20 KADRI Blel66
21 KITTEL Marcel82
22 KEIZER Martijn72
23 BONNAFOND Guillaume68
25 SELANDER Bjorn72
27 GALIMZYANOV Denis75
28 VAN GARDEREN Tejay72
30 BEYER Chad63
32 VENTER Jaco70
34 TARAMARCAZ Julien64
39 BARTON Chris77
46 JANSE VAN RENSBURG Jacques63
51 CUSIN Rémi65
52 BATEK Dariusz73
54 BRÜNGGER Nico62
57 HOWES Alex61
59 BÄR Michael66
63 CONTRERAS Mario Wilfredo64
67 VICHOT Arthur74
68 DENIFL Stefan65
69 KRIZEK Matthias74
71 SCHOFFMANN Martin67
73 SOLOMENNIKOV Andrei72
75 JANISZEWSKI Sylwester65
78 CARLSEN Kirk68
81 CIEŚLIK Paweł65
88 SAGGIORATO Mirco58
92 PÖLL Stefan60
93 ZANGERLE Joel63