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 = 0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Alafaci
1
77 kgCecchin
2
70 kgValgren
5
71 kgCoenen
6
67 kgSaggiorato
8
58 kgYates
10
58 kgRosskopf
13
74 kgDoull
14
71 kgGuardiola
18
65 kgvan der Poel
19
75 kgZangerle
22
63 kgKlostergaard
23
69 kgGrigorev
25
73 kgZahner
28
73 kgHansen
30
60 kgBrusselman
35
76 kgVinther
36
68 kg
1
77 kgCecchin
2
70 kgValgren
5
71 kgCoenen
6
67 kgSaggiorato
8
58 kgYates
10
58 kgRosskopf
13
74 kgDoull
14
71 kgGuardiola
18
65 kgvan der Poel
19
75 kgZangerle
22
63 kgKlostergaard
23
69 kgGrigorev
25
73 kgZahner
28
73 kgHansen
30
60 kgBrusselman
35
76 kgVinther
36
68 kg
Weight (KG) →
Result →
77
58
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAFACI Eugenio | 77 |
| 2 | CECCHIN Alberto | 70 |
| 5 | VALGREN Michael | 71 |
| 6 | COENEN Johan | 67 |
| 8 | SAGGIORATO Mirco | 58 |
| 10 | YATES Simon | 58 |
| 13 | ROSSKOPF Joey | 74 |
| 14 | DOULL Owain | 71 |
| 18 | GUARDIOLA Salvador | 65 |
| 19 | VAN DER POEL David | 75 |
| 22 | ZANGERLE Joel | 63 |
| 23 | KLOSTERGAARD Kasper | 69 |
| 25 | GRIGOREV Aleksandr | 73 |
| 28 | ZAHNER Simon | 73 |
| 30 | HANSEN Jesper | 60 |
| 35 | BRUSSELMAN Twan | 76 |
| 36 | VINTHER Troels Rønning | 68 |