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2002»43rd

Tour du Loir et Cher E Provost

(2.6)
2002»Stage 6 (Final)»BloisBlois

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 = 0.1 * weight - 8

This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Mondory
1
66 kg
Chavanel
2
77 kg
Gilbert
3
75 kg
Weight (KG) →
Result →
77
66
1
3
#RiderWeight (KG)
1 MONDORY Lloyd66
2 CHAVANEL Sébastien77
3 GILBERT Philippe75