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 + 122
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Jansen
1
83 kgZabel
3
81 kgZepuntke
8
76 kgDegreve
10
72 kgWürtz Schmidt
13
70 kgSchormair
14
64 kgHofstede
19
73 kgWalscheid
21
90 kgKnaup
24
61 kgWeinstein
32
80 kgSpengler
36
78 kgHuppertz
41
66 kgFritz
47
73 kgEgner
68
73 kgSvendsen
70
76 kgCarstensen
74
69 kgReske
77
64 kgMunk
81
67 kgBeyer
92
75 kgSchomber
94
75 kg
1
83 kgZabel
3
81 kgZepuntke
8
76 kgDegreve
10
72 kgWürtz Schmidt
13
70 kgSchormair
14
64 kgHofstede
19
73 kgWalscheid
21
90 kgKnaup
24
61 kgWeinstein
32
80 kgSpengler
36
78 kgHuppertz
41
66 kgFritz
47
73 kgEgner
68
73 kgSvendsen
70
76 kgCarstensen
74
69 kgReske
77
64 kgMunk
81
67 kgBeyer
92
75 kgSchomber
94
75 kg
Weight (KG) →
Result →
90
61
1
94
# | Rider | Weight (KG) |
---|---|---|
1 | JANSEN Amund Grøndahl | 83 |
3 | ZABEL Rick | 81 |
8 | ZEPUNTKE Ruben | 76 |
10 | DEGREVE Martijn | 72 |
13 | WÜRTZ SCHMIDT Mads | 70 |
14 | SCHORMAIR Fabian | 64 |
19 | HOFSTEDE Lennard | 73 |
21 | WALSCHEID Max | 90 |
24 | KNAUP Tobias | 61 |
32 | WEINSTEIN Domenic | 80 |
36 | SPENGLER Lukas | 78 |
41 | HUPPERTZ Joshua | 66 |
47 | FRITZ Fabian | 73 |
68 | EGNER Arne | 73 |
70 | SVENDSEN Oskar | 76 |
74 | CARSTENSEN Lucas | 69 |
77 | RESKE Tim | 64 |
81 | MUNK Steffen | 67 |
92 | BEYER Maximilian | 75 |
94 | SCHOMBER Nils | 75 |