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 + 89
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Cadamuro
1
78 kgMeeusen
7
62 kgKohut
13
65 kgDrucker
14
75 kgBroniš
19
74 kgRubiano
20
58 kgJovanović
21
60 kgKvasina
22
72 kgRogina
24
70 kgMarin
26
67 kgSlagter
39
57 kgRatti
41
64 kgTomić
47
79 kgSagan
50
65 kgĐurasek
51
56 kgHristov
56
57 kgPauwels
71
60 kgKasa
81
72 kgFritsch
86
65 kg
1
78 kgMeeusen
7
62 kgKohut
13
65 kgDrucker
14
75 kgBroniš
19
74 kgRubiano
20
58 kgJovanović
21
60 kgKvasina
22
72 kgRogina
24
70 kgMarin
26
67 kgSlagter
39
57 kgRatti
41
64 kgTomić
47
79 kgSagan
50
65 kgĐurasek
51
56 kgHristov
56
57 kgPauwels
71
60 kgKasa
81
72 kgFritsch
86
65 kg
Weight (KG) →
Result →
79
56
1
86
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CADAMURO Simone | 78 |
| 7 | MEEUSEN Tom | 62 |
| 13 | KOHUT Sławomir | 65 |
| 14 | DRUCKER Jempy | 75 |
| 19 | BRONIŠ Roman | 74 |
| 20 | RUBIANO Miguel Angel | 58 |
| 21 | JOVANOVIĆ Nebojša | 60 |
| 22 | KVASINA Matija | 72 |
| 24 | ROGINA Radoslav | 70 |
| 26 | MARIN Matej | 67 |
| 39 | SLAGTER Tom-Jelte | 57 |
| 41 | RATTI Eddy | 64 |
| 47 | TOMIĆ Marko | 79 |
| 50 | SAGAN Juraj | 65 |
| 51 | ĐURASEK Kristijan | 56 |
| 56 | HRISTOV Stefan Koychev | 57 |
| 71 | PAUWELS Kevin | 60 |
| 81 | KASA Gabor | 72 |
| 86 | FRITSCH Nicolas | 65 |