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 = 0.7 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Golčer
2
66.5 kgBonča
4
63 kgMahorič
10
68 kgZamana
13
74 kgKvasina
15
72 kgRogina
23
70 kgSchröder
38
64 kgMartens
53
69 kgGazvoda
64
72 kgGaliński
86
63 kgNagy
88
52 kgAug
91
83 kgMaasikmets
92
67 kgCadamuro
93
78 kgBožič
115
70 kgJovanović
117
60 kgLupeikis
119
80 kgMarin
120
67 kgSteig
152
72 kg
2
66.5 kgBonča
4
63 kgMahorič
10
68 kgZamana
13
74 kgKvasina
15
72 kgRogina
23
70 kgSchröder
38
64 kgMartens
53
69 kgGazvoda
64
72 kgGaliński
86
63 kgNagy
88
52 kgAug
91
83 kgMaasikmets
92
67 kgCadamuro
93
78 kgBožič
115
70 kgJovanović
117
60 kgLupeikis
119
80 kgMarin
120
67 kgSteig
152
72 kg
Weight (KG) →
Result →
83
52
2
152
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GOLČER Jure | 66.5 |
| 4 | BONČA Valter | 63 |
| 10 | MAHORIČ Mitja | 68 |
| 13 | ZAMANA Cezary | 74 |
| 15 | KVASINA Matija | 72 |
| 23 | ROGINA Radoslav | 70 |
| 38 | SCHRÖDER Björn | 64 |
| 53 | MARTENS Paul | 69 |
| 64 | GAZVODA Gregor | 72 |
| 86 | GALIŃSKI Marek | 63 |
| 88 | NAGY Robert | 52 |
| 91 | AUG Andrus | 83 |
| 92 | MAASIKMETS Alges | 67 |
| 93 | CADAMURO Simone | 78 |
| 115 | BOŽIČ Borut | 70 |
| 117 | JOVANOVIĆ Nebojša | 60 |
| 119 | LUPEIKIS Remigius | 80 |
| 120 | MARIN Matej | 67 |
| 152 | STEIG Csaba | 72 |