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 = 0.7 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Oss
4
75 kgHesselbarth
5
65 kgKreder
7
67 kgMalacarne
12
63 kgJarc
14
87 kgDenifl
17
65 kgKritskiy
20
81 kgWalsleben
23
66 kgSmukulis
25
72 kgEdmüller
27
70 kgZoidl
29
63 kgKvist
31
68 kgJanorschke
48
78 kgPfingsten
56
69 kgThurau
61
73 kgGretsch
76
69 kgSteensen
83
65 kgPirazzi
85
62 kgStauff
94
82 kgForke
95
78 kgKittel
96
82 kgModolo
102
67 kg
4
75 kgHesselbarth
5
65 kgKreder
7
67 kgMalacarne
12
63 kgJarc
14
87 kgDenifl
17
65 kgKritskiy
20
81 kgWalsleben
23
66 kgSmukulis
25
72 kgEdmüller
27
70 kgZoidl
29
63 kgKvist
31
68 kgJanorschke
48
78 kgPfingsten
56
69 kgThurau
61
73 kgGretsch
76
69 kgSteensen
83
65 kgPirazzi
85
62 kgStauff
94
82 kgForke
95
78 kgKittel
96
82 kgModolo
102
67 kg
Weight (KG) →
Result →
87
62
4
102
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | OSS Daniel | 75 |
| 5 | HESSELBARTH David | 65 |
| 7 | KREDER Michel | 67 |
| 12 | MALACARNE Davide | 63 |
| 14 | JARC Blaž | 87 |
| 17 | DENIFL Stefan | 65 |
| 20 | KRITSKIY Timofey | 81 |
| 23 | WALSLEBEN Philipp | 66 |
| 25 | SMUKULIS Gatis | 72 |
| 27 | EDMÜLLER Benjamin | 70 |
| 29 | ZOIDL Riccardo | 63 |
| 31 | KVIST Thomas Vedel | 68 |
| 48 | JANORSCHKE Grischa | 78 |
| 56 | PFINGSTEN Christoph | 69 |
| 61 | THURAU Björn | 73 |
| 76 | GRETSCH Patrick | 69 |
| 83 | STEENSEN André | 65 |
| 85 | PIRAZZI Stefano | 62 |
| 94 | STAUFF Andreas | 82 |
| 95 | FORKE Sebastian | 78 |
| 96 | KITTEL Marcel | 82 |
| 102 | MODOLO Sacha | 67 |