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 = 28.7 * weight - 1380
This means that on average for every extra kilogram weight a rider loses 28.7 positions in the result.
Richard
9
67 kgWechselberger
10
71 kgGianetti
12
62 kgKelly
19
77 kgDernies
20
75 kgBauer
990
72 kgJärmann
990
73 kgSwart
990
74 kgSkibby
990
70 kgHodge
990
74 kgFondriest
990
70 kgHolm Sørensen
990
77 kgCenghialta
990
73 kgCaroli
990
77 kgDomínguez
990
67 kgBruyneel
990
71 kg
9
67 kgWechselberger
10
71 kgGianetti
12
62 kgKelly
19
77 kgDernies
20
75 kgBauer
990
72 kgJärmann
990
73 kgSwart
990
74 kgSkibby
990
70 kgHodge
990
74 kgFondriest
990
70 kgHolm Sørensen
990
77 kgCenghialta
990
73 kgCaroli
990
77 kgDomínguez
990
67 kgBruyneel
990
71 kg
Weight (KG) →
Result →
77
62
9
990
# | Rider | Weight (KG) |
---|---|---|
9 | RICHARD Pascal | 67 |
10 | WECHSELBERGER Helmut | 71 |
12 | GIANETTI Mauro | 62 |
19 | KELLY Sean | 77 |
20 | DERNIES Michel | 75 |
990 | BAUER Steve | 72 |
990 | JÄRMANN Rolf | 73 |
990 | SWART Steve | 74 |
990 | SKIBBY Jesper | 70 |
990 | HODGE Stephen | 74 |
990 | FONDRIEST Maurizio | 70 |
990 | HOLM SØRENSEN Brian | 77 |
990 | CENGHIALTA Bruno | 73 |
990 | CAROLI Daniele | 77 |
990 | DOMÍNGUEZ Manuel Jorge | 67 |
990 | BRUYNEEL Johan | 71 |