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 = 0.3 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Schmidt
1
73 kgKlöden
2
63 kgJohansen
4
78 kgMurn
6
70 kgSchnider
10
65 kgNazon
12
68 kgSchreck
17
76 kgBergès
19
68 kgŠtangelj
20
70 kgVeneberg
21
75 kgAuger
22
78 kgPaumier
23
57 kgOrdowski
26
59 kgKjærgaard
33
74 kgHegreberg
42
72 kgRasch
49
72 kgWielinga
61
68 kgBouyer
65
65 kgBeuchat
66
62 kgGaute Hølestøl
70
83 kgPintarič
71
69 kgPerque
73
78 kgCasper
84
69 kg
1
73 kgKlöden
2
63 kgJohansen
4
78 kgMurn
6
70 kgSchnider
10
65 kgNazon
12
68 kgSchreck
17
76 kgBergès
19
68 kgŠtangelj
20
70 kgVeneberg
21
75 kgAuger
22
78 kgPaumier
23
57 kgOrdowski
26
59 kgKjærgaard
33
74 kgHegreberg
42
72 kgRasch
49
72 kgWielinga
61
68 kgBouyer
65
65 kgBeuchat
66
62 kgGaute Hølestøl
70
83 kgPintarič
71
69 kgPerque
73
78 kgCasper
84
69 kg
Weight (KG) →
Result →
83
57
1
84
# | Rider | Weight (KG) |
---|---|---|
1 | SCHMIDT Torsten | 73 |
2 | KLÖDEN Andreas | 63 |
4 | JOHANSEN Allan | 78 |
6 | MURN Uroš | 70 |
10 | SCHNIDER Daniel | 65 |
12 | NAZON Damien | 68 |
17 | SCHRECK Stephan | 76 |
19 | BERGÈS Stéphane | 68 |
20 | ŠTANGELJ Gorazd | 70 |
21 | VENEBERG Thorwald | 75 |
22 | AUGER Guillaume | 78 |
23 | PAUMIER Laurent | 57 |
26 | ORDOWSKI Volker | 59 |
33 | KJÆRGAARD Steffen | 74 |
42 | HEGREBERG Morten | 72 |
49 | RASCH Gabriel | 72 |
61 | WIELINGA Remmert | 68 |
65 | BOUYER Franck | 65 |
66 | BEUCHAT Roger | 62 |
70 | GAUTE HØLESTØL Svein | 83 |
71 | PINTARIČ Robert | 69 |
73 | PERQUE Franck | 78 |
84 | CASPER Jimmy | 69 |