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 = 0.6 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Zamana
1
74 kgSpruch
2
68 kgPiątek
5
71 kgSypytkowski
6
76 kgBaranowski
8
68 kgArroyo
9
59 kgHonchar
14
67 kgGontchenkov
23
74 kgLupeikis
25
80 kgWadecki
34
70 kgFornaciari
41
80 kgDuma
44
64 kgKasputis
45
83 kgBaffi
47
70 kgChmielewski
50
72 kgMickiewicz
94
74 kgFontanelli
97
68 kg
1
74 kgSpruch
2
68 kgPiątek
5
71 kgSypytkowski
6
76 kgBaranowski
8
68 kgArroyo
9
59 kgHonchar
14
67 kgGontchenkov
23
74 kgLupeikis
25
80 kgWadecki
34
70 kgFornaciari
41
80 kgDuma
44
64 kgKasputis
45
83 kgBaffi
47
70 kgChmielewski
50
72 kgMickiewicz
94
74 kgFontanelli
97
68 kg
Weight (KG) →
Result →
83
59
1
97
# | Rider | Weight (KG) |
---|---|---|
1 | ZAMANA Cezary | 74 |
2 | SPRUCH Zbigniew | 68 |
5 | PIĄTEK Zbigniew | 71 |
6 | SYPYTKOWSKI Andrzej | 76 |
8 | BARANOWSKI Dariusz | 68 |
9 | ARROYO Miguel | 59 |
14 | HONCHAR Serhiy | 67 |
23 | GONTCHENKOV Alexander | 74 |
25 | LUPEIKIS Remigius | 80 |
34 | WADECKI Piotr | 70 |
41 | FORNACIARI Paolo | 80 |
44 | DUMA Vladimir | 64 |
45 | KASPUTIS Artūras | 83 |
47 | BAFFI Adriano | 70 |
50 | CHMIELEWSKI Piotr | 72 |
94 | MICKIEWICZ Jacek | 74 |
97 | FONTANELLI Fabiano | 68 |