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 = 0.8 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Rogina
2
70 kgKvasina
3
72 kgRatti
4
64 kgRubiano
5
58 kgJovanović
9
60 kgBroniš
17
74 kgFritsch
19
65 kgKasa
22
72 kgMarin
23
67 kgĐurasek
25
56 kgCadamuro
26
78 kgTomić
32
79 kgHristov
34
57 kgSlagter
40
57 kgKohut
47
65 kgVervecken
58
78 kgLebas
59
65 kgPauwels
71
60 kgDrucker
73
75 kgMeeusen
74
62 kgSagan
90
65 kgKogut
94
73 kgColli
98
73 kgTybor
109
72 kg
2
70 kgKvasina
3
72 kgRatti
4
64 kgRubiano
5
58 kgJovanović
9
60 kgBroniš
17
74 kgFritsch
19
65 kgKasa
22
72 kgMarin
23
67 kgĐurasek
25
56 kgCadamuro
26
78 kgTomić
32
79 kgHristov
34
57 kgSlagter
40
57 kgKohut
47
65 kgVervecken
58
78 kgLebas
59
65 kgPauwels
71
60 kgDrucker
73
75 kgMeeusen
74
62 kgSagan
90
65 kgKogut
94
73 kgColli
98
73 kgTybor
109
72 kg
Weight (KG) →
Result →
79
56
2
109
# | Rider | Weight (KG) |
---|---|---|
2 | ROGINA Radoslav | 70 |
3 | KVASINA Matija | 72 |
4 | RATTI Eddy | 64 |
5 | RUBIANO Miguel Angel | 58 |
9 | JOVANOVIĆ Nebojša | 60 |
17 | BRONIŠ Roman | 74 |
19 | FRITSCH Nicolas | 65 |
22 | KASA Gabor | 72 |
23 | MARIN Matej | 67 |
25 | ĐURASEK Kristijan | 56 |
26 | CADAMURO Simone | 78 |
32 | TOMIĆ Marko | 79 |
34 | HRISTOV Stefan Koychev | 57 |
40 | SLAGTER Tom-Jelte | 57 |
47 | KOHUT Sławomir | 65 |
58 | VERVECKEN Erwin | 78 |
59 | LEBAS Thomas | 65 |
71 | PAUWELS Kevin | 60 |
73 | DRUCKER Jempy | 75 |
74 | MEEUSEN Tom | 62 |
90 | SAGAN Juraj | 65 |
94 | KOGUT Volodymyr | 73 |
98 | COLLI Daniele | 73 |
109 | TYBOR Patrik | 72 |