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 = -15.1 * weight + 1697
This means that on average for every extra kilogram weight a rider loses -15.1 positions in the result.
Lelli
1
69 kgJaskuła
3
76 kgFontanelli
6
68 kgVerstrepen
7
66 kgMartinello
8
71 kgTafi
9
73 kgSørensen
12
70 kgKelly
14
77 kgJärmann
990
73 kgRominger
990
65 kgFondriest
990
70 kgEarley
990
62 kgGianetti
990
62 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
69 kgJaskuła
3
76 kgFontanelli
6
68 kgVerstrepen
7
66 kgMartinello
8
71 kgTafi
9
73 kgSørensen
12
70 kgKelly
14
77 kgJärmann
990
73 kgRominger
990
65 kgFondriest
990
70 kgEarley
990
62 kgGianetti
990
62 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 | LELLI Massimiliano | 69 |
3 | JASKUŁA Zenon | 76 |
6 | FONTANELLI Fabiano | 68 |
7 | VERSTREPEN Johan | 66 |
8 | MARTINELLO Silvio | 71 |
9 | TAFI Andrea | 73 |
12 | SØRENSEN Rolf | 70 |
14 | KELLY Sean | 77 |
990 | JÄRMANN Rolf | 73 |
990 | ROMINGER Tony | 65 |
990 | FONDRIEST Maurizio | 70 |
990 | EARLEY Martin | 62 |
990 | GIANETTI Mauro | 62 |
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 |