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 = -2.7 * weight + 252
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Bonča
2
63 kgMahorič
3
68 kgGazvoda
5
72 kgRogina
10
70 kgGolčer
12
66.5 kgKvasina
17
72 kgLupeikis
23
80 kgBožič
34
70 kgSchröder
36
64 kgAug
55
83 kgCadamuro
66
78 kgMarin
67
67 kgZamana
72
74 kgStrgar
76
62 kgMartens
94
69 kgNagy
102
52 kgMaasikmets
129
67 kgJovanović
145
60 kgBrajkovič
146
60 kgSteig
169
72 kgGaliński
175
63 kg
2
63 kgMahorič
3
68 kgGazvoda
5
72 kgRogina
10
70 kgGolčer
12
66.5 kgKvasina
17
72 kgLupeikis
23
80 kgBožič
34
70 kgSchröder
36
64 kgAug
55
83 kgCadamuro
66
78 kgMarin
67
67 kgZamana
72
74 kgStrgar
76
62 kgMartens
94
69 kgNagy
102
52 kgMaasikmets
129
67 kgJovanović
145
60 kgBrajkovič
146
60 kgSteig
169
72 kgGaliński
175
63 kg
Weight (KG) →
Result →
83
52
2
175
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONČA Valter | 63 |
| 3 | MAHORIČ Mitja | 68 |
| 5 | GAZVODA Gregor | 72 |
| 10 | ROGINA Radoslav | 70 |
| 12 | GOLČER Jure | 66.5 |
| 17 | KVASINA Matija | 72 |
| 23 | LUPEIKIS Remigius | 80 |
| 34 | BOŽIČ Borut | 70 |
| 36 | SCHRÖDER Björn | 64 |
| 55 | AUG Andrus | 83 |
| 66 | CADAMURO Simone | 78 |
| 67 | MARIN Matej | 67 |
| 72 | ZAMANA Cezary | 74 |
| 76 | STRGAR Matic | 62 |
| 94 | MARTENS Paul | 69 |
| 102 | NAGY Robert | 52 |
| 129 | MAASIKMETS Alges | 67 |
| 145 | JOVANOVIĆ Nebojša | 60 |
| 146 | BRAJKOVIČ Janez | 60 |
| 169 | STEIG Csaba | 72 |
| 175 | GALIŃSKI Marek | 63 |