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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 = -0.5 * weight + 57

This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# Rider Weight (KG)
1 ROGERS Michael74
2 RICH Michael82
3 VINOKOUROV Alexandre68
4 LARSSON Gustav Erik77
5 ZABRISKIE David67
6 BRUSEGHIN Marzio70
7 WAUTERS Marc73
8 CANCELLARA Fabian80
9 GUTIÉRREZ José Iván71
10 PESCHEL Uwe72
11 PERON Andrea70
12 VANDBORG Brian Bach75
13 ROESEMS Bert81
14 SEIGNEUR Eddy71
15 MCCANN David73
16 NIEMIEC Przemysław62
19 MATVEYEV Sergiy78
20 BODROGI László79
21 FINOT Frédéric65
22 WOHLBERG Eric63
23 POSTHUMA Joost76
24 IVANOV Ruslan71
25 MCGEE Bradley72
26 PARRA Iván Ramiro62
27 NÜTTLI Jean70
28 BLAUDZUN Michael66
29 PEÑA Victor Hugo65
30 HRAZDIRA Michal77
31 LJUNGQVIST Marcus73
32 TUFT Svein77
33 GAZVODA Gregor72
34 NOZAL Isidro70
35 DANIELSON Tom58.5
36 JOACHIM Benoît82
38 O'LOUGHLIN David68
40 KRIVTSOV Yuriy72
41 BELOHVOŠČIKS Raivis70
45 NURITDINOV Rafael68