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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 = -0.4 * weight + 43

This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# Rider Weight (KG)
1 PESCHEL Uwe72
1 RICH Michael82
2 BODROGI László79
2 ROGERS Michael74
3 HOSTE Leif80
3 VAN PETEGEM Peter70
4 MOREAU Christophe71
4 VOIGT Jens76
5 COOKE Baden75
5 MCGEE Bradley72
6 VOSKAMP Bart75
7 EKIMOV Viatcheslav69
7 PEÑA Victor Hugo65
8 GAUMONT Philippe77
8 MATTAN Nico69
9 KARPETS Vladimir79
9 PETROV Evgeni70
10 ROESEMS Bert81
11 DEKKER Erik66
11 WAUTERS Marc73
12 JULICH Bobby68
12 VINOKOUROV Alexandre68
13 BERTOGLIATI Rubens73
13 QUINZIATO Manuel74
14 MERCKX Axel77
14 VERBRUGGHE Rik70
15 KRIVTSOV Yuriy72
15 SEIGNEUR Eddy71
16 BELOHVOŠČIKS Raivis70
16 BRUYLANDTS Dave63
17 HONCHAR Serhiy67
18 KNAVEN Servais68
18 MUSEEUW Johan71
19 BLAUDZUN Michael66
19 PERON Andrea70
20 HUSHOVD Thor83
20 O'GRADY Stuart73
21 DIERCKXSENS Ludo71
21 STREEL Marc69
22 DEVOLDER Stijn72