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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 + 31

This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
# Rider Weight (KG)
1 CANCELLARA Fabian80
2 LARSSON Gustav Erik77
3 LEIPHEIMER Levi62
4 CONTADOR Alberto61
5 EVANS Cadel64
6 SÁNCHEZ Samuel65
7 TUFT Svein77
8 ROGERS Michael74
9 CLEMENT Stef66
10 GESINK Robert70
11 CUMMINGS Steve73
12 ZABRISKIE David67
13 SCHUMACHER Stefan71
14 GRABSCH Bert78
15 NIBALI Vincenzo65
16 HESJEDAL Ryder73
17 TAARAMÄE Rein73
18 KARPETS Vladimir79
19 SØRENSEN Chris Anker64
20 MENCHOV Denis65
21 KIRYIENKA Vasil69
22 BRUSEGHIN Marzio70
23 KIRCHEN Kim68
24 MIZUROV Andrey68
25 BOTERO Santiago75
26 MONFORT Maxime66
27 BODROGI László79
28 ŠPILAK Simon68
29 JURČO Matej69
30 MÉDICI Matías70
31 GEORGE David61
32 GRIVKO Andrey70
33 VANDBORG Brian Bach75
34 NIEMIEC Przemysław62
35 ASKARI Hossein73
36 BELOHVOŠČIKS Raivis70
37 KOSTYUK Denys66
38 KVASINA Matija72
39 BEPPU Fumiyuki69