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:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
van der Poel
4
70 kgSaronni
10
65 kgKelly
11
77 kgInduráin
13
76 kgBallerini
14
78 kg
4
70 kgSaronni
10
65 kgKelly
11
77 kgInduráin
13
76 kgBallerini
14
78 kg
Weight (KG) →
Result →
78
65
4
14
# | Rider | Weight (KG) |
---|---|---|
4 | VAN DER POEL Adrie | 70 |
10 | SARONNI Giuseppe | 65 |
11 | KELLY Sean | 77 |
13 | INDURÁIN Miguel | 76 |
14 | BALLERINI Franco | 78 |