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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 = -1.6 * weight + 147

This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
# Rider Weight (KG)
1 BJERG Mikkel78
2 RODENBERG Frederik73
3 HULGAARD Morten73
4 KRON Andreas63
5 JOHANSEN Julius77
6 EGHOLM Jakob69
10 PRICE-PEJTERSEN Johan83
13 RASMUSSEN RAM Asbjørn73
15 PEDERSEN Rasmus Lund84
16 LARSEN Mathias Alexander Erik72
21 SKJELMOSE Mattias65
24 HINDSGAUL Jacob67
32 MALMBERG Matias68
37 ANDERSEN Sander56
39 JENSEN Frederik Irgens75
40 SANDER HANSEN Marcus68
42 STIGAARD Rasmus74
48 BAHR Christian63
59 WACKER Ludvig Anton68
74 SALBY Alexander68
78 BERG Mads Schelde75
97 HELLEMOSE Asbjørn65
104 GULD Daniel67