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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 = 0.2 * weight + 13

This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# Rider Weight (KG)
1 PELLIZOTTI Franco64
2 BERTAGNOLLI Leonardo63
3 VASSEUR Cédric70
4 WEGMANN Fabian60
7 CELESTINO Mirko67
8 ZBERG Markus69
9 ZBERG Beat72
10 NOCENTINI Rinaldo60
11 KOLOBNEV Alexandr64
12 DUMA Vladimir64
13 NOÈ Andrea65
14 BESSY Frédéric65
15 BOTCHAROV Alexandre54
16 BILEKA Volodymyr65
17 CAUCCHIOLI Pietro68
19 MONCOUTIÉ David69
20 CLINGER David77
22 LAGUTIN Sergey68
24 POWER Ciarán68
25 FOFONOV Dmitriy65
30 ZAUGG Oliver58
33 SCHOLZ Ronny60
34 CUNEGO Damiano58
35 GOLČER Jure66.5
36 CHEULA Giampaolo62
37 STRAUSS Marcel69
38 JURČO Matej69
39 HONDO Danilo73
40 CALCAGNI Patrick65
43 LOBATO Rubén64
44 HALGAND Patrice67
46 POILVET Benoît71
47 CLAIN Médéric59
49 BERTOGLIATI Rubens73
50 WEGELIUS Charles62
52 MONFORT Maxime66