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 = -0.2 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Shpilevsky
1
78 kgvan Hummel
2
64 kgStrgar
3
62 kgDietziker
4
67 kgBazayev
6
62 kgMusiol
7
70 kgKlostergaard
11
69 kgKocjan
12
72 kgIglinskiy
13
67 kgHovelijnck
14
75 kgRuss
23
62 kgStalder
26
58 kgTschopp
30
62 kgFirsanov
31
58 kgPauwels
32
65 kgSantaromita
36
58 kgGusev
37
67 kgDuggan
40
60 kgMugerli
44
68 kgSchwab
46
65 kgBrajkovič
54
60 kgKozontchuk
57
75 kgSaramotins
67
75 kg
1
78 kgvan Hummel
2
64 kgStrgar
3
62 kgDietziker
4
67 kgBazayev
6
62 kgMusiol
7
70 kgKlostergaard
11
69 kgKocjan
12
72 kgIglinskiy
13
67 kgHovelijnck
14
75 kgRuss
23
62 kgStalder
26
58 kgTschopp
30
62 kgFirsanov
31
58 kgPauwels
32
65 kgSantaromita
36
58 kgGusev
37
67 kgDuggan
40
60 kgMugerli
44
68 kgSchwab
46
65 kgBrajkovič
54
60 kgKozontchuk
57
75 kgSaramotins
67
75 kg
Weight (KG) →
Result →
78
58
1
67
# | Rider | Weight (KG) |
---|---|---|
1 | SHPILEVSKY Boris | 78 |
2 | VAN HUMMEL Kenny | 64 |
3 | STRGAR Matic | 62 |
4 | DIETZIKER Andreas | 67 |
6 | BAZAYEV Assan | 62 |
7 | MUSIOL Daniel | 70 |
11 | KLOSTERGAARD Kasper | 69 |
12 | KOCJAN Jure | 72 |
13 | IGLINSKIY Maxim | 67 |
14 | HOVELIJNCK Kurt | 75 |
23 | RUSS Matthias | 62 |
26 | STALDER Florian | 58 |
30 | TSCHOPP Johann | 62 |
31 | FIRSANOV Sergey | 58 |
32 | PAUWELS Serge | 65 |
36 | SANTAROMITA Ivan | 58 |
37 | GUSEV Vladimir | 67 |
40 | DUGGAN Timothy | 60 |
44 | MUGERLI Matej | 68 |
46 | SCHWAB Hubert | 65 |
54 | BRAJKOVIČ Janez | 60 |
57 | KOZONTCHUK Dmitry | 75 |
67 | SARAMOTINS Aleksejs | 75 |