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 = 1.3 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
Frankiny
4
67 kgDaniel
5
64 kgVinjebo
7
67 kgSchulze
11
64 kgSpengler
12
78 kgRahbek
17
66 kgKragh Andersen
18
73 kgNowak
19
68 kgBohli
23
71 kgRumac
33
71 kgVitzthum
37
70 kgFarantakis
44
62 kgReutimann
48
71 kgSchormair
50
64 kgMeiler
54
65 kgDoets
57
73 kgWilliams
59
73 kgHofstetter
62
66 kgKrigbaum
82
79 kg
4
67 kgDaniel
5
64 kgVinjebo
7
67 kgSchulze
11
64 kgSpengler
12
78 kgRahbek
17
66 kgKragh Andersen
18
73 kgNowak
19
68 kgBohli
23
71 kgRumac
33
71 kgVitzthum
37
70 kgFarantakis
44
62 kgReutimann
48
71 kgSchormair
50
64 kgMeiler
54
65 kgDoets
57
73 kgWilliams
59
73 kgHofstetter
62
66 kgKrigbaum
82
79 kg
Weight (KG) →
Result →
79
62
4
82
# | Rider | Weight (KG) |
---|---|---|
4 | FRANKINY Kilian | 67 |
5 | DANIEL Gregory | 64 |
7 | VINJEBO Emil Mielke | 67 |
11 | SCHULZE Julian | 64 |
12 | SPENGLER Lukas | 78 |
17 | RAHBEK Mads | 66 |
18 | KRAGH ANDERSEN Søren | 73 |
19 | NOWAK Florian | 68 |
23 | BOHLI Tom | 71 |
33 | RUMAC Josip | 71 |
37 | VITZTHUM Simon | 70 |
44 | FARANTAKIS Stylianos | 62 |
48 | REUTIMANN Matthias | 71 |
50 | SCHORMAIR Fabian | 64 |
54 | MEILER Lukas | 65 |
57 | DOETS Marco | 73 |
59 | WILLIAMS Tyler | 73 |
62 | HOFSTETTER Hugo | 66 |
82 | KRIGBAUM Mathias | 79 |