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 - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Gusev
1
67 kgBazayev
2
62 kgShpilevsky
4
78 kgStalder
5
58 kgIglinskiy
6
67 kgvan Hummel
7
64 kgStrgar
8
62 kgSchwab
10
65 kgPauwels
11
65 kgKozontchuk
12
75 kgKlostergaard
13
69 kgDietziker
14
67 kgMusiol
15
70 kgRuss
16
62 kgFirsanov
20
58 kgTschopp
23
62 kgMugerli
25
68 kgBrajkovič
31
60 kgKocjan
32
72 kgHovelijnck
41
75 kg
1
67 kgBazayev
2
62 kgShpilevsky
4
78 kgStalder
5
58 kgIglinskiy
6
67 kgvan Hummel
7
64 kgStrgar
8
62 kgSchwab
10
65 kgPauwels
11
65 kgKozontchuk
12
75 kgKlostergaard
13
69 kgDietziker
14
67 kgMusiol
15
70 kgRuss
16
62 kgFirsanov
20
58 kgTschopp
23
62 kgMugerli
25
68 kgBrajkovič
31
60 kgKocjan
32
72 kgHovelijnck
41
75 kg
Weight (KG) →
Result →
78
58
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUSEV Vladimir | 67 |
| 2 | BAZAYEV Assan | 62 |
| 4 | SHPILEVSKY Boris | 78 |
| 5 | STALDER Florian | 58 |
| 6 | IGLINSKIY Maxim | 67 |
| 7 | VAN HUMMEL Kenny | 64 |
| 8 | STRGAR Matic | 62 |
| 10 | SCHWAB Hubert | 65 |
| 11 | PAUWELS Serge | 65 |
| 12 | KOZONTCHUK Dmitry | 75 |
| 13 | KLOSTERGAARD Kasper | 69 |
| 14 | DIETZIKER Andreas | 67 |
| 15 | MUSIOL Daniel | 70 |
| 16 | RUSS Matthias | 62 |
| 20 | FIRSANOV Sergey | 58 |
| 23 | TSCHOPP Johann | 62 |
| 25 | MUGERLI Matej | 68 |
| 31 | BRAJKOVIČ Janez | 60 |
| 32 | KOCJAN Jure | 72 |
| 41 | HOVELIJNCK Kurt | 75 |