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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Paterski
1
73 kgBernas
2
77 kgStosz
3
70 kgHabermann
4
74 kgKrawczyk
5
79 kgStark
6
67 kgRekita
7
70 kgBrożyna
8
71 kgKaczmarek
9
66 kgDuckert
10
68 kgLindner
11
71 kgNolde
12
79 kgJägeler
13
71 kgCieślik
14
65 kgAschenbrenner
15
70 kgTemmen
16
66 kgFranczak
17
63 kgRudyk
18
76 kg
1
73 kgBernas
2
77 kgStosz
3
70 kgHabermann
4
74 kgKrawczyk
5
79 kgStark
6
67 kgRekita
7
70 kgBrożyna
8
71 kgKaczmarek
9
66 kgDuckert
10
68 kgLindner
11
71 kgNolde
12
79 kgJägeler
13
71 kgCieślik
14
65 kgAschenbrenner
15
70 kgTemmen
16
66 kgFranczak
17
63 kgRudyk
18
76 kg
Weight (KG) →
Result →
79
63
1
18
# | Rider | Weight (KG) |
---|---|---|
1 | PATERSKI Maciej | 73 |
2 | BERNAS Paweł | 77 |
3 | STOSZ Patryk | 70 |
4 | HABERMANN Richard | 74 |
5 | KRAWCZYK Szymon | 79 |
6 | STARK Immanuel | 67 |
7 | REKITA Szymon | 70 |
8 | BROŻYNA Piotr | 71 |
9 | KACZMAREK Jakub | 66 |
10 | DUCKERT Roman | 68 |
11 | LINDNER Tom | 71 |
12 | NOLDE Tobias | 79 |
13 | JÄGELER Robert | 71 |
14 | CIEŚLIK Paweł | 65 |
15 | ASCHENBRENNER Michel | 70 |
16 | TEMMEN Jan-Marc | 66 |
17 | FRANCZAK Paweł | 63 |
18 | RUDYK Bartosz | 76 |