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 = 0.4 * weight + 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Smukulis
1
72 kgDenifl
2
65 kgKvist
4
68 kgHesselbarth
5
65 kgKritskiy
6
81 kgWalsleben
7
66 kgOss
11
75 kgMalacarne
12
63 kgKreder
15
67 kgJarc
16
87 kgPfingsten
25
69 kgEdmüller
30
70 kgJanorschke
37
78 kgThurau
49
73 kgGretsch
53
69 kgZoidl
54
63 kgSteensen
66
65 kgKittel
72
82 kgStauff
81
82 kgModolo
87
67 kgPirazzi
103
62 kgForke
110
78 kg
1
72 kgDenifl
2
65 kgKvist
4
68 kgHesselbarth
5
65 kgKritskiy
6
81 kgWalsleben
7
66 kgOss
11
75 kgMalacarne
12
63 kgKreder
15
67 kgJarc
16
87 kgPfingsten
25
69 kgEdmüller
30
70 kgJanorschke
37
78 kgThurau
49
73 kgGretsch
53
69 kgZoidl
54
63 kgSteensen
66
65 kgKittel
72
82 kgStauff
81
82 kgModolo
87
67 kgPirazzi
103
62 kgForke
110
78 kg
Weight (KG) →
Result →
87
62
1
110
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMUKULIS Gatis | 72 |
| 2 | DENIFL Stefan | 65 |
| 4 | KVIST Thomas Vedel | 68 |
| 5 | HESSELBARTH David | 65 |
| 6 | KRITSKIY Timofey | 81 |
| 7 | WALSLEBEN Philipp | 66 |
| 11 | OSS Daniel | 75 |
| 12 | MALACARNE Davide | 63 |
| 15 | KREDER Michel | 67 |
| 16 | JARC Blaž | 87 |
| 25 | PFINGSTEN Christoph | 69 |
| 30 | EDMÜLLER Benjamin | 70 |
| 37 | JANORSCHKE Grischa | 78 |
| 49 | THURAU Björn | 73 |
| 53 | GRETSCH Patrick | 69 |
| 54 | ZOIDL Riccardo | 63 |
| 66 | STEENSEN André | 65 |
| 72 | KITTEL Marcel | 82 |
| 81 | STAUFF Andreas | 82 |
| 87 | MODOLO Sacha | 67 |
| 103 | PIRAZZI Stefano | 62 |
| 110 | FORKE Sebastian | 78 |