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 = 0.9 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Rogina
1
70 kgKvasina
2
72 kgRatti
3
64 kgĐurasek
6
56 kgJovanović
8
60 kgMarin
15
67 kgBroniš
16
74 kgHristov
19
57 kgKasa
20
72 kgRubiano
24
58 kgFritsch
27
65 kgKohut
35
65 kgTomić
37
79 kgSagan
43
65 kgMeeusen
47
62 kgSlagter
56
57 kgCadamuro
61
78 kgPauwels
62
60 kgVervecken
76
78 kgDrucker
80
75 kg
1
70 kgKvasina
2
72 kgRatti
3
64 kgĐurasek
6
56 kgJovanović
8
60 kgMarin
15
67 kgBroniš
16
74 kgHristov
19
57 kgKasa
20
72 kgRubiano
24
58 kgFritsch
27
65 kgKohut
35
65 kgTomić
37
79 kgSagan
43
65 kgMeeusen
47
62 kgSlagter
56
57 kgCadamuro
61
78 kgPauwels
62
60 kgVervecken
76
78 kgDrucker
80
75 kg
Weight (KG) →
Result →
79
56
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGINA Radoslav | 70 |
| 2 | KVASINA Matija | 72 |
| 3 | RATTI Eddy | 64 |
| 6 | ĐURASEK Kristijan | 56 |
| 8 | JOVANOVIĆ Nebojša | 60 |
| 15 | MARIN Matej | 67 |
| 16 | BRONIŠ Roman | 74 |
| 19 | HRISTOV Stefan Koychev | 57 |
| 20 | KASA Gabor | 72 |
| 24 | RUBIANO Miguel Angel | 58 |
| 27 | FRITSCH Nicolas | 65 |
| 35 | KOHUT Sławomir | 65 |
| 37 | TOMIĆ Marko | 79 |
| 43 | SAGAN Juraj | 65 |
| 47 | MEEUSEN Tom | 62 |
| 56 | SLAGTER Tom-Jelte | 57 |
| 61 | CADAMURO Simone | 78 |
| 62 | PAUWELS Kevin | 60 |
| 76 | VERVECKEN Erwin | 78 |
| 80 | DRUCKER Jempy | 75 |