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 + 76
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Goos
1
65 kgFenn
4
79 kgGmelich Meijling
5
77 kgRowe
6
72 kgSchiewer
7
70 kgChristian
8
72 kgZoidl
9
63 kgde Vries
10
70 kgKrizek
11
74 kgKonrad
15
64 kgPreidler
16
68 kgSelig
20
80 kgReinhardt
30
72 kgQuast
38
67 kgWerda
43
66 kgRathe
47
74 kgHaller
50
72 kgBreyne
54
83 kgRabitsch
58
69 kgHrinkow
62
61 kgDruyts
66
69 kgDe Pauw
76
72 kgAkdilek
91
68 kgSchnaidt
105
70 kg
1
65 kgFenn
4
79 kgGmelich Meijling
5
77 kgRowe
6
72 kgSchiewer
7
70 kgChristian
8
72 kgZoidl
9
63 kgde Vries
10
70 kgKrizek
11
74 kgKonrad
15
64 kgPreidler
16
68 kgSelig
20
80 kgReinhardt
30
72 kgQuast
38
67 kgWerda
43
66 kgRathe
47
74 kgHaller
50
72 kgBreyne
54
83 kgRabitsch
58
69 kgHrinkow
62
61 kgDruyts
66
69 kgDe Pauw
76
72 kgAkdilek
91
68 kgSchnaidt
105
70 kg
Weight (KG) →
Result →
83
61
1
105
# | Rider | Weight (KG) |
---|---|---|
1 | GOOS Marc | 65 |
4 | FENN Andrew | 79 |
5 | GMELICH MEIJLING Jarno | 77 |
6 | ROWE Luke | 72 |
7 | SCHIEWER Franz | 70 |
8 | CHRISTIAN Mark | 72 |
9 | ZOIDL Riccardo | 63 |
10 | DE VRIES Berden | 70 |
11 | KRIZEK Matthias | 74 |
15 | KONRAD Patrick | 64 |
16 | PREIDLER Georg | 68 |
20 | SELIG Rüdiger | 80 |
30 | REINHARDT Theo | 72 |
38 | QUAST Ole | 67 |
43 | WERDA Maximilian | 66 |
47 | RATHE Jacob | 74 |
50 | HALLER Marco | 72 |
54 | BREYNE Jonathan | 83 |
58 | RABITSCH Stephan | 69 |
62 | HRINKOW Dominik | 61 |
66 | DRUYTS Gerry | 69 |
76 | DE PAUW Moreno | 72 |
91 | AKDILEK Ahmet | 68 |
105 | SCHNAIDT Fabian | 70 |