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 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Božič
1
70 kgGolčer
3
66.5 kgAug
5
83 kgNiemiec
6
62 kgGavazzi
7
70 kgŠtangelj
8
70 kgKišerlovski
9
72 kgKlemenčič
10
69 kgKvasina
11
72 kgMahorič
12
68 kgMarcato
13
67 kgRogina
15
70 kgMarzoli
16
61 kgCucinotta
17
71 kgValjavec
18
59 kgBonča
21
63 kgCapecchi
22
65 kgStrgar
26
62 kgFranzoi
29
70 kgBäckstedt
30
94 kgMugerli
31
68 kgKreuziger
32
65 kgEibegger
33
68 kgBole
35
69 kg
1
70 kgGolčer
3
66.5 kgAug
5
83 kgNiemiec
6
62 kgGavazzi
7
70 kgŠtangelj
8
70 kgKišerlovski
9
72 kgKlemenčič
10
69 kgKvasina
11
72 kgMahorič
12
68 kgMarcato
13
67 kgRogina
15
70 kgMarzoli
16
61 kgCucinotta
17
71 kgValjavec
18
59 kgBonča
21
63 kgCapecchi
22
65 kgStrgar
26
62 kgFranzoi
29
70 kgBäckstedt
30
94 kgMugerli
31
68 kgKreuziger
32
65 kgEibegger
33
68 kgBole
35
69 kg
Weight (KG) →
Result →
94
59
1
35
# | Rider | Weight (KG) |
---|---|---|
1 | BOŽIČ Borut | 70 |
3 | GOLČER Jure | 66.5 |
5 | AUG Andrus | 83 |
6 | NIEMIEC Przemysław | 62 |
7 | GAVAZZI Mattia | 70 |
8 | ŠTANGELJ Gorazd | 70 |
9 | KIŠERLOVSKI Robert | 72 |
10 | KLEMENČIČ Zoran | 69 |
11 | KVASINA Matija | 72 |
12 | MAHORIČ Mitja | 68 |
13 | MARCATO Marco | 67 |
15 | ROGINA Radoslav | 70 |
16 | MARZOLI Ruggero | 61 |
17 | CUCINOTTA Claudio | 71 |
18 | VALJAVEC Tadej | 59 |
21 | BONČA Valter | 63 |
22 | CAPECCHI Eros | 65 |
26 | STRGAR Matic | 62 |
29 | FRANZOI Enrico | 70 |
30 | BÄCKSTEDT Magnus | 94 |
31 | MUGERLI Matej | 68 |
32 | KREUZIGER Roman | 65 |
33 | EIBEGGER Markus | 68 |
35 | BOLE Grega | 69 |