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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 = -1.4 * weight + 130

This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
# Rider Weight (KG)
1 KLEIN Lisa61
2 HENDERSON Anna58
3 LUDWIG Hannah55
4 KRÖGER Mieke77
6 VAN DER HULST Amber66
7 WOOD Alice59
10 CANUEL Karol-Ann51
11 GUARISCHI Barbara57
12 GUAZZINI Vittoria65
13 BALSAMO Elisa55
14 PATERNOSTER Letizia53
17 MAJERUS Christine56
19 FIDANZA Martina60
21 DUYCK Ann-Sophie60
23 OYARBIDE Lourdes52
24 MATHIESEN Pernille71
26 KASPER Romy59
30 HARRIS Ella57
32 KASTELIJN Yara52
35 SCHWEINBERGER Christina67
36 GONZÁLEZ Alicia51
37 CANT Sanne57
38 GAFINOVITZ Rotem52
39 BARBIERI Rachele55
41 SCHWEINBERGER Kathrin63
42 ALZINI Martina64
52 TERUEL Alba56
55 VAN EMPEL Fem58
58 RODRÍGUEZ Gloria57
59 VAN ALPHEN Aniek51
65 VAN LOY Ellen65
76 LÓPEZ Marga67
77 TRUYEN Marthe55
79 ROŽLAPA Dana63
85 VERDONSCHOT Laura52
87 FOURNIER Roxane60
90 VAN DIJKE Demi60
91 VAN MECHELEN Gloria61
95 DOCX Mieke52
99 PEETERS Jinse54
102 DELBAERE Fien51
104 VAN HOUTUM Céline55
105 EL HAYANI Fatima Zahra52
110 VAN NECK Melissa63
113 FRANCK Alicia51
117 KAPTHEIJNS Maud53
120 DRUYTS Kelly62