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 = -14.7 * weight + 1850
This means that on average for every extra kilogram weight a rider loses -14.7 positions in the result.
Rominger
1
65 kgFondriest
3
70 kgKelly
4
77 kgJaskuła
6
76 kgMartinello
990
71 kgJärmann
990
73 kgEarley
990
62 kgGianetti
990
62 kgLelli
990
69 kgFontanelli
990
68 kgVerstrepen
990
66 kgTafi
990
73 kgSørensen
990
70 kgVanderaerden
990
74 kgPlanckaert
990
69 kgPeeters
990
76 kgAbduzhaparov
990
72 kgPagnin
990
74 kgLilholt
990
72 kgSaronni
990
65 kgBreukink
990
70 kgSergeant
990
76 kg
1
65 kgFondriest
3
70 kgKelly
4
77 kgJaskuła
6
76 kgMartinello
990
71 kgJärmann
990
73 kgEarley
990
62 kgGianetti
990
62 kgLelli
990
69 kgFontanelli
990
68 kgVerstrepen
990
66 kgTafi
990
73 kgSørensen
990
70 kgVanderaerden
990
74 kgPlanckaert
990
69 kgPeeters
990
76 kgAbduzhaparov
990
72 kgPagnin
990
74 kgLilholt
990
72 kgSaronni
990
65 kgBreukink
990
70 kgSergeant
990
76 kg
Weight (KG) →
Result →
77
62
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | ROMINGER Tony | 65 |
3 | FONDRIEST Maurizio | 70 |
4 | KELLY Sean | 77 |
6 | JASKUŁA Zenon | 76 |
990 | MARTINELLO Silvio | 71 |
990 | JÄRMANN Rolf | 73 |
990 | EARLEY Martin | 62 |
990 | GIANETTI Mauro | 62 |
990 | LELLI Massimiliano | 69 |
990 | FONTANELLI Fabiano | 68 |
990 | VERSTREPEN Johan | 66 |
990 | TAFI Andrea | 73 |
990 | SØRENSEN Rolf | 70 |
990 | VANDERAERDEN Eric | 74 |
990 | PLANCKAERT Eddy | 69 |
990 | PEETERS Wilfried | 76 |
990 | ABDUZHAPAROV Djamolidine | 72 |
990 | PAGNIN Roberto | 74 |
990 | LILHOLT Søren | 72 |
990 | SARONNI Giuseppe | 65 |
990 | BREUKINK Erik | 70 |
990 | SERGEANT Marc | 76 |