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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Poulhiès
1
75 kgMeersman
2
63 kgSeeldraeyers
5
60 kgLadagnous
6
73 kgHupond
7
65 kgGonzalo
9
66 kgStamsnijder
10
76 kgSonnery
12
60 kgMarino
14
65 kgFarrar
17
73 kgSulzberger
19
67 kgPasseron
20
73 kgBlot
22
71 kgLoubet
23
66 kgCazaux
26
59 kgMartin
28
59 kgZahner
29
73 kgRolland
30
70 kgGalland
31
62 kgPerget
32
64 kgCieślik
35
65 kgAntomarchi
36
70 kgRousseau
37
70 kg
1
75 kgMeersman
2
63 kgSeeldraeyers
5
60 kgLadagnous
6
73 kgHupond
7
65 kgGonzalo
9
66 kgStamsnijder
10
76 kgSonnery
12
60 kgMarino
14
65 kgFarrar
17
73 kgSulzberger
19
67 kgPasseron
20
73 kgBlot
22
71 kgLoubet
23
66 kgCazaux
26
59 kgMartin
28
59 kgZahner
29
73 kgRolland
30
70 kgGalland
31
62 kgPerget
32
64 kgCieślik
35
65 kgAntomarchi
36
70 kgRousseau
37
70 kg
Weight (KG) →
Result →
76
59
1
37
# | Rider | Weight (KG) |
---|---|---|
1 | POULHIÈS Stéphane | 75 |
2 | MEERSMAN Gianni | 63 |
5 | SEELDRAEYERS Kevin | 60 |
6 | LADAGNOUS Matthieu | 73 |
7 | HUPOND Thierry | 65 |
9 | GONZALO Eduardo | 66 |
10 | STAMSNIJDER Tom | 76 |
12 | SONNERY Blaise | 60 |
14 | MARINO Jean-Marc | 65 |
17 | FARRAR Tyler | 73 |
19 | SULZBERGER Bernard | 67 |
20 | PASSERON Aurélien | 73 |
22 | BLOT Guillaume | 71 |
23 | LOUBET Julien | 66 |
26 | CAZAUX Pierre | 59 |
28 | MARTIN Dan | 59 |
29 | ZAHNER Simon | 73 |
30 | ROLLAND Pierre | 70 |
31 | GALLAND Jérémie | 62 |
32 | PERGET Mathieu | 64 |
35 | CIEŚLIK Paweł | 65 |
36 | ANTOMARCHI Julien | 70 |
37 | ROUSSEAU Nicolas | 70 |