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 + 11
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Kasputis
1
83 kgOriol
2
65 kgPiątek
3
71 kgCretskens
6
75 kgChavanel
7
73 kgvan Dijk
8
74 kgHorner
9
70 kgMaignan
10
63 kgBrożyna
11
65 kgVogondy
12
62 kgPrzydział
13
80 kgKirchen
14
68 kgRenier
16
69 kgSypytkowski
17
76 kgEngels
22
64 kgMilesi
24
78 kgDerepas
26
69 kgVeneberg
28
75 kgD'Hollander
29
74 kgGougot
30
72 kg
1
83 kgOriol
2
65 kgPiątek
3
71 kgCretskens
6
75 kgChavanel
7
73 kgvan Dijk
8
74 kgHorner
9
70 kgMaignan
10
63 kgBrożyna
11
65 kgVogondy
12
62 kgPrzydział
13
80 kgKirchen
14
68 kgRenier
16
69 kgSypytkowski
17
76 kgEngels
22
64 kgMilesi
24
78 kgDerepas
26
69 kgVeneberg
28
75 kgD'Hollander
29
74 kgGougot
30
72 kg
Weight (KG) →
Result →
83
62
1
30
# | Rider | Weight (KG) |
---|---|---|
1 | KASPUTIS Artūras | 83 |
2 | ORIOL Christophe | 65 |
3 | PIĄTEK Zbigniew | 71 |
6 | CRETSKENS Wilfried | 75 |
7 | CHAVANEL Sylvain | 73 |
8 | VAN DIJK Stefan | 74 |
9 | HORNER Chris | 70 |
10 | MAIGNAN Gilles | 63 |
11 | BROŻYNA Tomasz | 65 |
12 | VOGONDY Nicolas | 62 |
13 | PRZYDZIAŁ Piotr | 80 |
14 | KIRCHEN Kim | 68 |
16 | RENIER Franck | 69 |
17 | SYPYTKOWSKI Andrzej | 76 |
22 | ENGELS Addy | 64 |
24 | MILESI Marco | 78 |
26 | DEREPAS David | 69 |
28 | VENEBERG Thorwald | 75 |
29 | D'HOLLANDER Glenn | 74 |
30 | GOUGOT Fabrice | 72 |