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 = 0.1 * weight + 33
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Cadamuro
2
78 kgRubiano
5
58 kgMarin
9
67 kgĐurasek
16
56 kgKvasina
18
72 kgRogina
19
70 kgRatti
20
64 kgKohut
28
65 kgMeeusen
29
62 kgKasa
41
72 kgJovanović
42
60 kgHristov
44
57 kgBroniš
54
74 kgSagan
58
65 kgDrucker
68
75 kgTomić
69
79 kgPauwels
71
60 kgSlagter
72
57 kgFritsch
78
65 kg
2
78 kgRubiano
5
58 kgMarin
9
67 kgĐurasek
16
56 kgKvasina
18
72 kgRogina
19
70 kgRatti
20
64 kgKohut
28
65 kgMeeusen
29
62 kgKasa
41
72 kgJovanović
42
60 kgHristov
44
57 kgBroniš
54
74 kgSagan
58
65 kgDrucker
68
75 kgTomić
69
79 kgPauwels
71
60 kgSlagter
72
57 kgFritsch
78
65 kg
Weight (KG) →
Result →
79
56
2
78
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CADAMURO Simone | 78 |
| 5 | RUBIANO Miguel Angel | 58 |
| 9 | MARIN Matej | 67 |
| 16 | ĐURASEK Kristijan | 56 |
| 18 | KVASINA Matija | 72 |
| 19 | ROGINA Radoslav | 70 |
| 20 | RATTI Eddy | 64 |
| 28 | KOHUT Sławomir | 65 |
| 29 | MEEUSEN Tom | 62 |
| 41 | KASA Gabor | 72 |
| 42 | JOVANOVIĆ Nebojša | 60 |
| 44 | HRISTOV Stefan Koychev | 57 |
| 54 | BRONIŠ Roman | 74 |
| 58 | SAGAN Juraj | 65 |
| 68 | DRUCKER Jempy | 75 |
| 69 | TOMIĆ Marko | 79 |
| 71 | PAUWELS Kevin | 60 |
| 72 | SLAGTER Tom-Jelte | 57 |
| 78 | FRITSCH Nicolas | 65 |