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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 - 15

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# Rider Weight (KG)
1 WALLAYS Jens64
3 FRISON Frederik84
4 DECLERCQ Benjamin67
5 VAN MEIRHAEGHE Jef71
7 DEVRIENDT Tom70
8 THEUNS Edward72
10 MEURISSE Xandro71
11 FARAZIJN Maxime73.5
14 CAPIOT Amaury69
15 MAES Alexander72
16 VAN LERBERGHE Bert83
17 VALLÉE Boris79
19 COENEN Dennis69
22 CASIER Arne71
32 VLIEGEN Loïc70
33 DE WITTE Mathias61
34 DE CLERCQ Angelo67
37 MANNAERTS Jelle73
43 CAMPENAERTS Victor68
49 RICKAERT Jonas88
51 SEYNAEVE Lander67
52 VANDENBOGAERDE Jens77
54 VAN ZUMMEREN Stef73
56 RUYTERS Brecht69
57 VAN GESTEL Dries74
61 ROBEET Ludovic75
62 DE WINTER Ludwig83