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2007   »   Tour of Missouri (2.1)

Stage 1   »   Kansas city  ›  Kansas city   (137km)
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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 = -1.1 * weight + 128

This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
# Rider Weight (KG)
1 DOMÍNGUEZ Iván72
2 BELL Zach75
4 WYSS Danilo65
5 VITORIA David74
6 PAGLIARINI Luciano André68
11 MENZIES Karl86
15 ROLLIN Dominique83
17 SUTHERLAND Rory75
20 FRATTINI Davide63
21 POPOVYCH Yaroslav64
24 HINCAPIE George83
26 LEIPHEIMER Levi62
27 POWERS Jeremy68
30 O'NEILL Nathan72
34 DAY Benjamin68
38 RANGEL Hector Hugo63
46 CRUZ Antonio66
47 BERTOGLIATI Rubens73
49 DUGGAN Timothy60
51 STEWART Jackson72
52 ALARCÓN Raúl72
53 ROUTLEY Will69
54 HESJEDAL Ryder73
55 COZZA Steven70
58 PATE Danny73
59 JENKINS Max63
60 FRISCHKORN William68
62 ZARATE Jesús70
64 LAGUTIN Sergey68
67 TUFT Svein77
68 WOHLBERG Eric63
71 MAMOS Philipp72
78 NOVAL Benjamín71
79 FRIEDMAN Michael82
82 CHADWICK Glen Alan75
83 DUIJN Huub73
84 MCCARTY Jonathan Patrick68
85 CONTADOR Alberto61
90 CAÑADA David65
91 TRENTIN Guido65
95 LOUDER Jeff73
101 BLACKGROVE Heath65
106 BEYER Chad63
108 STEVIĆ Ivan66
110 HELMINEN Matti74