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 = -0.3 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Krigbaum
3
79 kgSpengler
7
78 kgSchormair
8
64 kgSchulze
9
64 kgNowak
14
68 kgRahbek
15
66 kgDaniel
17
64 kgVinjebo
21
67 kgWilliams
25
73 kgRumac
33
71 kgKragh Andersen
37
73 kgBohli
40
71 kgHofstetter
46
66 kgFarantakis
47
62 kgDoets
51
73 kgAuer
55
73 kgMeiler
59
65 kgVitzthum
64
70 kgFrankiny
72
67 kgReutimann
96
71 kg
3
79 kgSpengler
7
78 kgSchormair
8
64 kgSchulze
9
64 kgNowak
14
68 kgRahbek
15
66 kgDaniel
17
64 kgVinjebo
21
67 kgWilliams
25
73 kgRumac
33
71 kgKragh Andersen
37
73 kgBohli
40
71 kgHofstetter
46
66 kgFarantakis
47
62 kgDoets
51
73 kgAuer
55
73 kgMeiler
59
65 kgVitzthum
64
70 kgFrankiny
72
67 kgReutimann
96
71 kg
Weight (KG) →
Result →
79
62
3
96
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KRIGBAUM Mathias | 79 |
| 7 | SPENGLER Lukas | 78 |
| 8 | SCHORMAIR Fabian | 64 |
| 9 | SCHULZE Julian | 64 |
| 14 | NOWAK Florian | 68 |
| 15 | RAHBEK Mads | 66 |
| 17 | DANIEL Gregory | 64 |
| 21 | VINJEBO Emil Mielke | 67 |
| 25 | WILLIAMS Tyler | 73 |
| 33 | RUMAC Josip | 71 |
| 37 | KRAGH ANDERSEN Søren | 73 |
| 40 | BOHLI Tom | 71 |
| 46 | HOFSTETTER Hugo | 66 |
| 47 | FARANTAKIS Stylianos | 62 |
| 51 | DOETS Marco | 73 |
| 55 | AUER Daniel | 73 |
| 59 | MEILER Lukas | 65 |
| 64 | VITZTHUM Simon | 70 |
| 72 | FRANKINY Kilian | 67 |
| 96 | REUTIMANN Matthias | 71 |