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Riga Grand Prix

(1.2)
2012»One day race»Riga Riga (180km)

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 * weight + 90

This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
#RiderWeight (KG)
1 FLAKSIS Andžs79
2 PÜTSEP Erki69
3 MANDRI René66
5 SKUJIŅŠ Toms70
14 PRUUS Peeter71
15 LIEPIŅŠ Emīls67
16 MANNINEN Matti70
18 TOMBAK Janek71
26 LAAS Martin76
31 RÄIM Mihkel69
52 PIASETSKI Aliaksandr66