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 = 1.1 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.1 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 kgNeilands
12
69 kgWachter
13
72 kgMertz
16
70 kgBrożyna
17
71 kgSchulze
18
64 kgShumov
19
65 kgWillwohl
25
67 kgBaška
27
74 kgStrokau
31
74 kgKasperkiewicz
36
67 kgPawlak
43
81 kg
1
64 kgKasperkiewicz
2
71 kgRekita
3
70 kgStosz
4
70 kgSchlegel
5
72 kgMccormick
6
72.5 kgSoballa
8
71 kgNeilands
12
69 kgWachter
13
72 kgMertz
16
70 kgBrożyna
17
71 kgSchulze
18
64 kgShumov
19
65 kgWillwohl
25
67 kgBaška
27
74 kgStrokau
31
74 kgKasperkiewicz
36
67 kgPawlak
43
81 kg
Weight (KG) →
Result →
81
64
1
43
| # | 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 | NEILANDS Krists | 69 |
| 13 | WACHTER Alexander | 72 |
| 16 | MERTZ Rémy | 70 |
| 17 | BROŻYNA Piotr | 71 |
| 18 | SCHULZE Julian | 64 |
| 19 | SHUMOV Nikolai | 65 |
| 25 | WILLWOHL Willi | 67 |
| 27 | BAŠKA Erik | 74 |
| 31 | STROKAU Vasili | 74 |
| 36 | KASPERKIEWICZ Maciej | 67 |
| 43 | PAWLAK Tobiasz | 81 |