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 = -0.1 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hondo
1
73 kgMichaelsen
2
79 kgWadecki
3
70 kgPollack
10
77 kgSpruch
11
68 kgMickiewicz
12
74 kgSapa
13
82 kgPeeters
14
76 kgPiątek
20
71 kgBaranowski
22
68 kgAndersson
23
71 kgBassons
26
74 kgPrzydział
27
80 kgLisowicz
31
85 kgFlickinger
33
78 kgIvanov
36
73 kgRumšas
39
64 kg
1
73 kgMichaelsen
2
79 kgWadecki
3
70 kgPollack
10
77 kgSpruch
11
68 kgMickiewicz
12
74 kgSapa
13
82 kgPeeters
14
76 kgPiątek
20
71 kgBaranowski
22
68 kgAndersson
23
71 kgBassons
26
74 kgPrzydział
27
80 kgLisowicz
31
85 kgFlickinger
33
78 kgIvanov
36
73 kgRumšas
39
64 kg
Weight (KG) →
Result →
85
64
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | HONDO Danilo | 73 |
2 | MICHAELSEN Lars | 79 |
3 | WADECKI Piotr | 70 |
10 | POLLACK Olaf | 77 |
11 | SPRUCH Zbigniew | 68 |
12 | MICKIEWICZ Jacek | 74 |
13 | SAPA Marcin | 82 |
14 | PEETERS Wilfried | 76 |
20 | PIĄTEK Zbigniew | 71 |
22 | BARANOWSKI Dariusz | 68 |
23 | ANDERSSON Michael | 71 |
26 | BASSONS Christophe | 74 |
27 | PRZYDZIAŁ Piotr | 80 |
31 | LISOWICZ Tomasz | 85 |
33 | FLICKINGER Andy | 78 |
36 | IVANOV Sergei | 73 |
39 | RUMŠAS Raimondas | 64 |