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2016»4th

Tour of Alberta

(2.1)
2016»Stage 2»KananaskisOlds(182km)

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 = -0.8 * weight + 103

This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
#RiderWeight (KG)
1 PUTT Tanner75
3 WILLIAMS Tyler73
4 HUFFMAN Evan71
6 HOWES Alex61
9 MCCABE Travis72
12 PERRY Benjamin71
13 SKJERPING Kristoffer71
14 MOLLEMA Bauke64
15 ZAMPARELLA Marco67
17 ALLEGAERT Piet70
18 CATAFORD Alexander70
19 PINTO Edgar58
23 DUCHESNE Antoine75
24 CARDOSO André56
27 PATE Danny73
28 JAMIESON Adam75
30 SKUJIŅŠ Toms70
31 OIEN Justin68
32 MURPHY John81
33 FLAKSIS Andžs79
35 SCHLECK Fränk65
36 CLARKE Jonathan68
37 WOODS Michael62
38 STETINA Peter63
40 HORNER Chris70
41 KOREN Kristijan72
43 DAL-CIN Matteo77
45 BURKE Jack67
46 DUNBAR Eddie57
47 RAST Grégory80
50 BUSCHE Matthew69
51 JONES Chris64
52 ROTH Ryan70
53 SUMMERHILL Daniel70
59 KEOUGH Luke68
63 GAIMON Phillip67
65 RATHE Jacob74
66 CASTILLO Ulises Alfredo72
68 GALARRETA David77
70 CRADDOCK Lawson69
73 PELEGRÍ Óscar63
74 BEYER Chad63
77 HALILAJ Redi70
81 MARTINS Uri70
84 FLAUTT Oliver68
85 HESJEDAL Ryder73
86 DISERA Peter71
88 CELANO Danilo65
90 SANTAROMITA Ivan58
91 ARREDONDO Julián David58
92 MANCEBO Francisco64
95 PALINI Andrea67