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 = 1 * weight - 51
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Mühlberger
1
64 kgKasperkiewicz
2
71 kgRekita
3
70 kgStosz
4
70 kgSchlegel
5
72 kgMccormick
6
72.5 kgSoballa
8
71 kgPaluta
12
65 kgNeilands
13
69 kgWachter
14
72 kgBrożyna
16
71 kgMertz
18
70 kgSchulze
20
64 kgKalojíros
24
68 kgBaška
28
74 kgLichnovský
30
76 kgStrokau
33
74 kgKasperkiewicz
45
67 kgBerger
47
66 kgPawlak
49
81 kg
1
64 kgKasperkiewicz
2
71 kgRekita
3
70 kgStosz
4
70 kgSchlegel
5
72 kgMccormick
6
72.5 kgSoballa
8
71 kgPaluta
12
65 kgNeilands
13
69 kgWachter
14
72 kgBrożyna
16
71 kgMertz
18
70 kgSchulze
20
64 kgKalojíros
24
68 kgBaška
28
74 kgLichnovský
30
76 kgStrokau
33
74 kgKasperkiewicz
45
67 kgBerger
47
66 kgPawlak
49
81 kg
Weight (KG) →
Result →
81
64
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÜHLBERGER Gregor | 64 |
| 2 | KASPERKIEWICZ Przemysław | 71 |
| 3 | REKITA Szymon | 70 |
| 4 | STOSZ Patryk | 70 |
| 5 | SCHLEGEL Michal | 72 |
| 6 | MCCORMICK Hayden | 72.5 |
| 8 | SOBALLA Carl | 71 |
| 12 | PALUTA Michał | 65 |
| 13 | NEILANDS Krists | 69 |
| 14 | WACHTER Alexander | 72 |
| 16 | BROŻYNA Piotr | 71 |
| 18 | MERTZ Rémy | 70 |
| 20 | SCHULZE Julian | 64 |
| 24 | KALOJÍROS Tomáš | 68 |
| 28 | BAŠKA Erik | 74 |
| 30 | LICHNOVSKÝ Luděk | 76 |
| 33 | STROKAU Vasili | 74 |
| 45 | KASPERKIEWICZ Maciej | 67 |
| 47 | BERGER Leon | 66 |
| 49 | PAWLAK Tobiasz | 81 |