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 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Politt
1
80 kgBackofen
2
62 kgDenz
3
71 kgKoch
4
75 kgKnaup
5
61 kgReutter
8
72 kgSchormair
9
64 kgTschernoster
10
62 kgRapps
13
73 kgHerklotz
17
68 kgDinkler
19
61 kgMandrysch
20
73 kgAckermann
22
78 kgBraun
24
76 kgSchachmann
26
71 kgWeinzheimer
29
67 kgKämna
30
65 kgStark
33
67 kg
1
80 kgBackofen
2
62 kgDenz
3
71 kgKoch
4
75 kgKnaup
5
61 kgReutter
8
72 kgSchormair
9
64 kgTschernoster
10
62 kgRapps
13
73 kgHerklotz
17
68 kgDinkler
19
61 kgMandrysch
20
73 kgAckermann
22
78 kgBraun
24
76 kgSchachmann
26
71 kgWeinzheimer
29
67 kgKämna
30
65 kgStark
33
67 kg
Weight (KG) →
Result →
80
61
1
33
# | Rider | Weight (KG) |
---|---|---|
1 | POLITT Nils | 80 |
2 | BACKOFEN Moritz | 62 |
3 | DENZ Nico | 71 |
4 | KOCH Jonas | 75 |
5 | KNAUP Tobias | 61 |
8 | REUTTER Sven | 72 |
9 | SCHORMAIR Fabian | 64 |
10 | TSCHERNOSTER Jan | 62 |
13 | RAPPS Dario | 73 |
17 | HERKLOTZ Silvio | 68 |
19 | DINKLER Jonathan | 61 |
20 | MANDRYSCH John | 73 |
22 | ACKERMANN Pascal | 78 |
24 | BRAUN Julian | 76 |
26 | SCHACHMANN Maximilian | 71 |
29 | WEINZHEIMER Richard | 67 |
30 | KÄMNA Lennard | 65 |
33 | STARK Immanuel | 67 |