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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 = -0.3 * weight + 38

This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# Rider Weight (KG)
1 REBELLIN Davide63
2 FRIGO Dario66
3 RUMŠAS Raimondas64
4 BESSY Frédéric65
5 MONCOUTIÉ David69
6 CAUCCHIOLI Pietro68
7 BROCHARD Laurent68
8 HALGAND Patrice67
9 ZBERG Beat72
10 BALDUCCI Gabriele69
11 FINOT Frédéric65
12 PAOLINI Luca66
14 MARÍN Ruber Alveiro55
15 GONZÁLEZ Freddy Excelino55
16 PUGACI Igor67
17 STEINHAUSER Tobias72
18 DESSEL Cyril63
20 DONATI Massimo75
21 JULICH Bobby68
22 ZUCCONI Pietro63
23 VOGONDY Nicolas62
24 BOTCHAROV Alexandre54
26 BEUCHAT Roger62
27 SCHNIDER Daniel65
29 CASAR Sandy63
30 ORIOL Christophe65
31 POILVET Benoît71
32 VALOTI Paolo64
35 CALCAGNI Patrick65
37 AEBERSOLD Niki58
38 LODER Thierry62
39 CANCELLARA Fabian80
40 GIANETTI Mauro62
42 TIRALONGO Paolo63
43 CHEULA Giampaolo62