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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 - 23

This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
# Rider Weight (KG)
1 WIELINGA Remmert68
2 REBELLIN Davide63
3 BERTAGNOLLI Leonardo63
4 NIBALI Vincenzo65
5 CARRARA Matteo67
6 KIRCHEN Kim68
7 FOFONOV Dmitriy65
8 ASTARLOA Igor61
9 LAVERDE Luis Felipe63
11 BOTCHAROV Alexandre54
12 SCHLECK Andy68
13 KUSCHYNSKI Aleksandr65
15 VAN DE WALLE Jurgen74
17 FACCI Mauro68
18 CHEULA Giampaolo62
19 FERNÁNDEZ DE LA PUEBLA Alberto63
20 KANNEMEYER Tiaan67
21 MONCOUTIÉ David69
22 ALDAPE Moises Antonio62
23 PINEAU Jérôme65
25 BEUCHAT Roger62
26 FÉDRIGO Pierrick66
27 CAPECCHI Eros65
28 CORIONI Claudio67
31 CHAVANEL Sylvain73
32 VASSEUR Cédric70
33 NIEMIEC Przemysław62
34 FAILLI Francesco65
35 GIORDANI Leonardo68
36 SCHOLZ Ronny60
37 CHARTEAU Anthony67
38 BERTOGLIATI Rubens73
40 MARCATO Marco67
42 RINERO Christophe65
43 LE MÉVEL Christophe61
44 VOECKLER Thomas71
45 BOSSONI Paolo62
46 MOINARD Amaël69
47 PETITO Roberto78
48 SIUTSOU Kanstantsin68
49 GUSTOV Volodymyr64
50 SCHWAB Hubert65
51 POILVET Benoît71
52 KAIRELIS Dainius63
54 GIUNTI Massimo62
55 BATES Gene61
56 BESSY Frédéric65
58 EFIMKIN Alexander70
59 GEROSA Mauro72
60 BALDATO Fabio60
61 KERN Christophe72
63 SANTAMBROGIO Mauro63
64 GÓMEZ Ángel68
65 TRENTIN Guido65
66 DIETZIKER Andreas67
67 NOÈ Andrea65
68 BRAMATI Davide72