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 - 91
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Gesink
1
70 kgBoasson Hagen
2
75 kgŠpilak
3
68 kgKreuziger
5
65 kgSteensen
9
65 kgBiesek
11
66 kgKangert
17
65 kgvan Amerongen
25
70 kgWyss
26
63 kgGretsch
30
69 kgGourgue
32
62 kgLudescher
36
72 kgAaen Jørgensen
46
63 kgKönig
48
62 kgTaaramäe
51
68 kgReimer
52
69 kgJõeäär
71
84 kgForke
86
78 kg
1
70 kgBoasson Hagen
2
75 kgŠpilak
3
68 kgKreuziger
5
65 kgSteensen
9
65 kgBiesek
11
66 kgKangert
17
65 kgvan Amerongen
25
70 kgWyss
26
63 kgGretsch
30
69 kgGourgue
32
62 kgLudescher
36
72 kgAaen Jørgensen
46
63 kgKönig
48
62 kgTaaramäe
51
68 kgReimer
52
69 kgJõeäär
71
84 kgForke
86
78 kg
Weight (KG) →
Result →
84
62
1
86
# | Rider | Weight (KG) |
---|---|---|
1 | GESINK Robert | 70 |
2 | BOASSON HAGEN Edvald | 75 |
3 | ŠPILAK Simon | 68 |
5 | KREUZIGER Roman | 65 |
9 | STEENSEN André | 65 |
11 | BIESEK Szymon | 66 |
17 | KANGERT Tanel | 65 |
25 | VAN AMERONGEN Thijs | 70 |
26 | WYSS Marcel | 63 |
30 | GRETSCH Patrick | 69 |
32 | GOURGUE Benjamin | 62 |
36 | LUDESCHER Philipp | 72 |
46 | AAEN JØRGENSEN Jonas | 63 |
48 | KÖNIG Leopold | 62 |
51 | TAARAMÄE Rein | 68 |
52 | REIMER Martin | 69 |
71 | JÕEÄÄR Gert | 84 |
86 | FORKE Sebastian | 78 |