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 * weight + 27
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Westphal
1
75 kgStamsnijder
4
76 kgKadri
6
66 kgLangeveld
7
67 kgGottfried
8
60 kgVelits
9
70 kgVelits
11
63 kgMartin
14
75 kgDi Grégorio
15
67 kgSchleck
17
68 kgLund
28
65 kgGajek
31
74 kgZeits
32
73 kgPoulhiès
37
75 kgFröhlinger
41
62 kgTimmer
83
77 kgGeschke
85
64 kgLe Floch
92
67 kg
1
75 kgStamsnijder
4
76 kgKadri
6
66 kgLangeveld
7
67 kgGottfried
8
60 kgVelits
9
70 kgVelits
11
63 kgMartin
14
75 kgDi Grégorio
15
67 kgSchleck
17
68 kgLund
28
65 kgGajek
31
74 kgZeits
32
73 kgPoulhiès
37
75 kgFröhlinger
41
62 kgTimmer
83
77 kgGeschke
85
64 kgLe Floch
92
67 kg
Weight (KG) →
Result →
77
60
1
92
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WESTPHAL Carlo | 75 |
| 4 | STAMSNIJDER Tom | 76 |
| 6 | KADRI Blel | 66 |
| 7 | LANGEVELD Sebastian | 67 |
| 8 | GOTTFRIED Alexander | 60 |
| 9 | VELITS Martin | 70 |
| 11 | VELITS Peter | 63 |
| 14 | MARTIN Tony | 75 |
| 15 | DI GRÉGORIO Rémy | 67 |
| 17 | SCHLECK Andy | 68 |
| 28 | LUND Anders | 65 |
| 31 | GAJEK Artur | 74 |
| 32 | ZEITS Andrey | 73 |
| 37 | POULHIÈS Stéphane | 75 |
| 41 | FRÖHLINGER Johannes | 62 |
| 83 | TIMMER Albert | 77 |
| 85 | GESCHKE Simon | 64 |
| 92 | LE FLOCH Guillaume | 67 |