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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Poulhiès
1
75 kgGonzalo
2
66 kgMeersman
4
63 kgHupond
5
65 kgFarrar
6
73 kgSeeldraeyers
7
60 kgSulzberger
10
67 kgLadagnous
11
73 kgPerget
12
64 kgMarino
13
65 kgSonnery
15
60 kgBarle
16
72 kgTanner
17
70 kgCieślik
22
65 kgMartin
23
59 kgPasseron
25
73 kgRolland
28
70 kgCazaux
29
59 kgGalland
32
62 kgZahner
35
73 kgGudsell
36
77 kgAntomarchi
38
70 kgRousseau
39
70 kg
1
75 kgGonzalo
2
66 kgMeersman
4
63 kgHupond
5
65 kgFarrar
6
73 kgSeeldraeyers
7
60 kgSulzberger
10
67 kgLadagnous
11
73 kgPerget
12
64 kgMarino
13
65 kgSonnery
15
60 kgBarle
16
72 kgTanner
17
70 kgCieślik
22
65 kgMartin
23
59 kgPasseron
25
73 kgRolland
28
70 kgCazaux
29
59 kgGalland
32
62 kgZahner
35
73 kgGudsell
36
77 kgAntomarchi
38
70 kgRousseau
39
70 kg
Weight (KG) →
Result →
77
59
1
39
# | Rider | Weight (KG) |
---|---|---|
1 | POULHIÈS Stéphane | 75 |
2 | GONZALO Eduardo | 66 |
4 | MEERSMAN Gianni | 63 |
5 | HUPOND Thierry | 65 |
6 | FARRAR Tyler | 73 |
7 | SEELDRAEYERS Kevin | 60 |
10 | SULZBERGER Bernard | 67 |
11 | LADAGNOUS Matthieu | 73 |
12 | PERGET Mathieu | 64 |
13 | MARINO Jean-Marc | 65 |
15 | SONNERY Blaise | 60 |
16 | BARLE Florent | 72 |
17 | TANNER David | 70 |
22 | CIEŚLIK Paweł | 65 |
23 | MARTIN Dan | 59 |
25 | PASSERON Aurélien | 73 |
28 | ROLLAND Pierre | 70 |
29 | CAZAUX Pierre | 59 |
32 | GALLAND Jérémie | 62 |
35 | ZAHNER Simon | 73 |
36 | GUDSELL Timothy | 77 |
38 | ANTOMARCHI Julien | 70 |
39 | ROUSSEAU Nicolas | 70 |