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 = 0.4 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Alafaci
1
77 kgCecchin
2
70 kgYates
3
58 kgValgren
4
71 kgCoenen
5
67 kgSaggiorato
9
58 kgFoliforov
12
61 kgRosskopf
14
74 kgDoull
15
71 kgvan der Poel
16
75 kgGuardiola
20
65 kgZangerle
23
63 kgKlostergaard
25
69 kgGrigorev
26
73 kgPardini
27
68 kgZahner
31
73 kgTratnik
32
67 kgBrusselman
36
76 kgVinther
37
68 kg
1
77 kgCecchin
2
70 kgYates
3
58 kgValgren
4
71 kgCoenen
5
67 kgSaggiorato
9
58 kgFoliforov
12
61 kgRosskopf
14
74 kgDoull
15
71 kgvan der Poel
16
75 kgGuardiola
20
65 kgZangerle
23
63 kgKlostergaard
25
69 kgGrigorev
26
73 kgPardini
27
68 kgZahner
31
73 kgTratnik
32
67 kgBrusselman
36
76 kgVinther
37
68 kg
Weight (KG) →
Result →
77
58
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAFACI Eugenio | 77 |
| 2 | CECCHIN Alberto | 70 |
| 3 | YATES Simon | 58 |
| 4 | VALGREN Michael | 71 |
| 5 | COENEN Johan | 67 |
| 9 | SAGGIORATO Mirco | 58 |
| 12 | FOLIFOROV Alexander | 61 |
| 14 | ROSSKOPF Joey | 74 |
| 15 | DOULL Owain | 71 |
| 16 | VAN DER POEL David | 75 |
| 20 | GUARDIOLA Salvador | 65 |
| 23 | ZANGERLE Joel | 63 |
| 25 | KLOSTERGAARD Kasper | 69 |
| 26 | GRIGOREV Aleksandr | 73 |
| 27 | PARDINI Olivier | 68 |
| 31 | ZAHNER Simon | 73 |
| 32 | TRATNIK Jan | 67 |
| 36 | BRUSSELMAN Twan | 76 |
| 37 | VINTHER Troels Rønning | 68 |