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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 = -0.6 * weight + 63

This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
# Rider Weight (KG)
1 HONCHAR Serhiy67
2 RICH Michael82
3 BODROGI László79
4 BOARDMAN Chris70
5 OLANO Abraham70
6 FRIGO Dario66
7 VOIGT Jens76
8 MATVEYEV Sergiy78
9 TETERIOUK Andrei72
10 PINOTTI Marco67
11 NÜTTLI Jean70
12 BELOHVOŠČIKS Raivis70
13 VERBRUGGHE Rik70
14 SOSENKA Ondřej82
15 HUNTER Robert72
16 IVANOV Ruslan71
17 MOREAU Christophe71
18 GARRIDO Martin Gerardo70
21 CHMIELEWSKI Piotr72
22 HUSHOVD Thor83
23 HVASTIJA Martin75
24 HAMILTON Tyler65
25 DANGERFIELD Stuart65
26 HAUPTMAN Andrej70
34 CALCAGNI Patrick65
35 PRZYDZIAŁ Piotr80
37 BONCIUCOV Igor66
38 KADLEC Milan70
40 NAGY Robert52