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 = 1.5 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Marin
1
67 kgDelle Stelle
2
65 kgNikolaev
5
66 kgChirico
7
58 kgStević
8
66 kgKasa
10
72 kgMamykin
14
62 kgKvasina
16
72 kgWachter
19
72 kgCambianica
20
64 kgGrošelj
26
62 kgUmhaller
35
64 kgCholakov
37
66 kgSuchev
42
68 kgAndreev
43
63 kgPetrovski
47
69 kgManakov
55
77 kgStash
56
77 kgBertazzo
57
75 kgJovanović
58
60 kgCerović
71
71 kgMankov
89
67 kg
1
67 kgDelle Stelle
2
65 kgNikolaev
5
66 kgChirico
7
58 kgStević
8
66 kgKasa
10
72 kgMamykin
14
62 kgKvasina
16
72 kgWachter
19
72 kgCambianica
20
64 kgGrošelj
26
62 kgUmhaller
35
64 kgCholakov
37
66 kgSuchev
42
68 kgAndreev
43
63 kgPetrovski
47
69 kgManakov
55
77 kgStash
56
77 kgBertazzo
57
75 kgJovanović
58
60 kgCerović
71
71 kgMankov
89
67 kg
Weight (KG) →
Result →
77
58
1
89
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARIN Matej | 67 |
| 2 | DELLE STELLE Christian | 65 |
| 5 | NIKOLAEV Sergey | 66 |
| 7 | CHIRICO Luca | 58 |
| 8 | STEVIĆ Ivan | 66 |
| 10 | KASA Gabor | 72 |
| 14 | MAMYKIN Matvey | 62 |
| 16 | KVASINA Matija | 72 |
| 19 | WACHTER Alexander | 72 |
| 20 | CAMBIANICA Enea | 64 |
| 26 | GROŠELJ Žiga | 62 |
| 35 | UMHALLER Thomas | 64 |
| 37 | CHOLAKOV Stanimir | 66 |
| 42 | SUCHEV Mario | 68 |
| 43 | ANDREEV Yordan | 63 |
| 47 | PETROVSKI Stefan | 69 |
| 55 | MANAKOV Victor | 77 |
| 56 | STASH Mamyr | 77 |
| 57 | BERTAZZO Liam | 75 |
| 58 | JOVANOVIĆ Nebojša | 60 |
| 71 | CEROVIĆ Goran | 71 |
| 89 | MANKOV Slaveyko | 67 |