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 = -1.8 * weight + 170
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
Kragh Andersen
1
73 kgRumac
7
71 kgKrigbaum
8
79 kgRahbek
10
66 kgVinjebo
21
67 kgSchulze
30
64 kgWilliams
35
73 kgDoets
38
73 kgDaniel
41
64 kgNowak
44
68 kgSpengler
47
78 kgSchormair
49
64 kgAuer
50
73 kgBohli
59
71 kgVitzthum
61
70 kgMeiler
65
65 kgHofstetter
67
66 kgFrankiny
68
67 kgReutimann
77
71 kgFarantakis
85
62 kg
1
73 kgRumac
7
71 kgKrigbaum
8
79 kgRahbek
10
66 kgVinjebo
21
67 kgSchulze
30
64 kgWilliams
35
73 kgDoets
38
73 kgDaniel
41
64 kgNowak
44
68 kgSpengler
47
78 kgSchormair
49
64 kgAuer
50
73 kgBohli
59
71 kgVitzthum
61
70 kgMeiler
65
65 kgHofstetter
67
66 kgFrankiny
68
67 kgReutimann
77
71 kgFarantakis
85
62 kg
Weight (KG) →
Result →
79
62
1
85
# | Rider | Weight (KG) |
---|---|---|
1 | KRAGH ANDERSEN Søren | 73 |
7 | RUMAC Josip | 71 |
8 | KRIGBAUM Mathias | 79 |
10 | RAHBEK Mads | 66 |
21 | VINJEBO Emil Mielke | 67 |
30 | SCHULZE Julian | 64 |
35 | WILLIAMS Tyler | 73 |
38 | DOETS Marco | 73 |
41 | DANIEL Gregory | 64 |
44 | NOWAK Florian | 68 |
47 | SPENGLER Lukas | 78 |
49 | SCHORMAIR Fabian | 64 |
50 | AUER Daniel | 73 |
59 | BOHLI Tom | 71 |
61 | VITZTHUM Simon | 70 |
65 | MEILER Lukas | 65 |
67 | HOFSTETTER Hugo | 66 |
68 | FRANKINY Kilian | 67 |
77 | REUTIMANN Matthias | 71 |
85 | FARANTAKIS Stylianos | 62 |