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 = -0.5 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Jarc
1
87 kgMatzka
8
69 kgSagan
9
65 kgThurau
10
73 kgSaggiorato
16
58 kgBär
17
66 kgAdams
24
63 kgStępniak
33
75 kgLitscher
35
74 kgMajka
37
62 kgKump
41
68 kgEijssen
47
60 kgCambianica
49
64 kgMargot
51
65 kgČanecký
54
72 kgSalomein
57
80 kgFumeaux
59
61 kgPolnický
64
68 kg
1
87 kgMatzka
8
69 kgSagan
9
65 kgThurau
10
73 kgSaggiorato
16
58 kgBär
17
66 kgAdams
24
63 kgStępniak
33
75 kgLitscher
35
74 kgMajka
37
62 kgKump
41
68 kgEijssen
47
60 kgCambianica
49
64 kgMargot
51
65 kgČanecký
54
72 kgSalomein
57
80 kgFumeaux
59
61 kgPolnický
64
68 kg
Weight (KG) →
Result →
87
58
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JARC Blaž | 87 |
| 8 | MATZKA Ralf | 69 |
| 9 | SAGAN Juraj | 65 |
| 10 | THURAU Björn | 73 |
| 16 | SAGGIORATO Mirco | 58 |
| 17 | BÄR Michael | 66 |
| 24 | ADAMS Joeri | 63 |
| 33 | STĘPNIAK Grzegorz | 75 |
| 35 | LITSCHER Thomas | 74 |
| 37 | MAJKA Rafał | 62 |
| 41 | KUMP Marko | 68 |
| 47 | EIJSSEN Yannick | 60 |
| 49 | CAMBIANICA Enea | 64 |
| 51 | MARGOT Arnaud | 65 |
| 54 | ČANECKÝ Marek | 72 |
| 57 | SALOMEIN Jarl | 80 |
| 59 | FUMEAUX Jonathan | 61 |
| 64 | POLNICKÝ Jiří | 68 |