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 = 0.3 * weight + 39
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Golčer
1
66.5 kgBonča
3
63 kgMahorič
10
68 kgKvasina
13
72 kgZamana
14
74 kgRogina
18
70 kgSchröder
35
64 kgGazvoda
54
72 kgMartens
56
69 kgNagy
72
52 kgGaliński
74
63 kgAug
76
83 kgCadamuro
77
78 kgMaasikmets
84
67 kgBožič
94
70 kgMarin
99
67 kgLupeikis
104
80 kgJovanović
134
60 kgSteig
142
72 kg
1
66.5 kgBonča
3
63 kgMahorič
10
68 kgKvasina
13
72 kgZamana
14
74 kgRogina
18
70 kgSchröder
35
64 kgGazvoda
54
72 kgMartens
56
69 kgNagy
72
52 kgGaliński
74
63 kgAug
76
83 kgCadamuro
77
78 kgMaasikmets
84
67 kgBožič
94
70 kgMarin
99
67 kgLupeikis
104
80 kgJovanović
134
60 kgSteig
142
72 kg
Weight (KG) →
Result →
83
52
1
142
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GOLČER Jure | 66.5 |
| 3 | BONČA Valter | 63 |
| 10 | MAHORIČ Mitja | 68 |
| 13 | KVASINA Matija | 72 |
| 14 | ZAMANA Cezary | 74 |
| 18 | ROGINA Radoslav | 70 |
| 35 | SCHRÖDER Björn | 64 |
| 54 | GAZVODA Gregor | 72 |
| 56 | MARTENS Paul | 69 |
| 72 | NAGY Robert | 52 |
| 74 | GALIŃSKI Marek | 63 |
| 76 | AUG Andrus | 83 |
| 77 | CADAMURO Simone | 78 |
| 84 | MAASIKMETS Alges | 67 |
| 94 | BOŽIČ Borut | 70 |
| 99 | MARIN Matej | 67 |
| 104 | LUPEIKIS Remigius | 80 |
| 134 | JOVANOVIĆ Nebojša | 60 |
| 142 | STEIG Csaba | 72 |