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 = 1.1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Kreuziger
1
65 kgŠpilak
2
68 kgBoasson Hagen
5
75 kgBiesek
6
66 kgGesink
8
70 kgKangert
10
65 kgvan Amerongen
11
70 kgGretsch
15
69 kgSteensen
25
65 kgWyss
26
63 kgGourgue
32
62 kgLudescher
34
72 kgReimer
48
69 kgTaaramäe
58
73 kgJõeäär
61
84 kgKönig
68
62 kgAaen Jørgensen
73
63 kgForke
79
78 kg
1
65 kgŠpilak
2
68 kgBoasson Hagen
5
75 kgBiesek
6
66 kgGesink
8
70 kgKangert
10
65 kgvan Amerongen
11
70 kgGretsch
15
69 kgSteensen
25
65 kgWyss
26
63 kgGourgue
32
62 kgLudescher
34
72 kgReimer
48
69 kgTaaramäe
58
73 kgJõeäär
61
84 kgKönig
68
62 kgAaen Jørgensen
73
63 kgForke
79
78 kg
Weight (KG) →
Result →
84
62
1
79
# | Rider | Weight (KG) |
---|---|---|
1 | KREUZIGER Roman | 65 |
2 | ŠPILAK Simon | 68 |
5 | BOASSON HAGEN Edvald | 75 |
6 | BIESEK Szymon | 66 |
8 | GESINK Robert | 70 |
10 | KANGERT Tanel | 65 |
11 | VAN AMERONGEN Thijs | 70 |
15 | GRETSCH Patrick | 69 |
25 | STEENSEN André | 65 |
26 | WYSS Marcel | 63 |
32 | GOURGUE Benjamin | 62 |
34 | LUDESCHER Philipp | 72 |
48 | REIMER Martin | 69 |
58 | TAARAMÄE Rein | 73 |
61 | JÕEÄÄR Gert | 84 |
68 | KÖNIG Leopold | 62 |
73 | AAEN JØRGENSEN Jonas | 63 |
79 | FORKE Sebastian | 78 |