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 * weight + 109
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Stauff
2
82 kgSteensen
3
65 kgJanorschke
4
78 kgModolo
6
67 kgOss
7
75 kgJarc
8
87 kgThurau
10
73 kgHesselbarth
13
65 kgKvist
15
68 kgKreder
20
67 kgMalacarne
21
63 kgKritskiy
34
81 kgDenifl
41
65 kgKittel
50
82 kgEdmüller
52
70 kgSmukulis
53
72 kgZoidl
63
63 kgPfingsten
73
69 kgWalsleben
76
66 kgGretsch
85
69 kgPirazzi
95
62 kgForke
97
78 kg
2
82 kgSteensen
3
65 kgJanorschke
4
78 kgModolo
6
67 kgOss
7
75 kgJarc
8
87 kgThurau
10
73 kgHesselbarth
13
65 kgKvist
15
68 kgKreder
20
67 kgMalacarne
21
63 kgKritskiy
34
81 kgDenifl
41
65 kgKittel
50
82 kgEdmüller
52
70 kgSmukulis
53
72 kgZoidl
63
63 kgPfingsten
73
69 kgWalsleben
76
66 kgGretsch
85
69 kgPirazzi
95
62 kgForke
97
78 kg
Weight (KG) →
Result →
87
62
2
97
# | Rider | Weight (KG) |
---|---|---|
2 | STAUFF Andreas | 82 |
3 | STEENSEN André | 65 |
4 | JANORSCHKE Grischa | 78 |
6 | MODOLO Sacha | 67 |
7 | OSS Daniel | 75 |
8 | JARC Blaž | 87 |
10 | THURAU Björn | 73 |
13 | HESSELBARTH David | 65 |
15 | KVIST Thomas Vedel | 68 |
20 | KREDER Michel | 67 |
21 | MALACARNE Davide | 63 |
34 | KRITSKIY Timofey | 81 |
41 | DENIFL Stefan | 65 |
50 | KITTEL Marcel | 82 |
52 | EDMÜLLER Benjamin | 70 |
53 | SMUKULIS Gatis | 72 |
63 | ZOIDL Riccardo | 63 |
73 | PFINGSTEN Christoph | 69 |
76 | WALSLEBEN Philipp | 66 |
85 | GRETSCH Patrick | 69 |
95 | PIRAZZI Stefano | 62 |
97 | FORKE Sebastian | 78 |