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 = -0.5 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Reda
1
70 kgPetilli
2
65 kgPöstlberger
3
70 kgTroia
5
80 kgCecchin
6
70 kgMosca
7
65 kgPacchiardo
8
60 kgMaestri
11
73 kgRota
15
62 kgToffali
16
75 kgVelasco
17
59 kgPichetta
18
56 kgSpreafico
19
69 kgCelano
21
65 kgSantoro
25
53 kgRiabushenko
28
61 kgBarbero Piantino
29
65 kgCarboni
30
61 kgPacioni
35
67 kgLizde
41
70 kg
1
70 kgPetilli
2
65 kgPöstlberger
3
70 kgTroia
5
80 kgCecchin
6
70 kgMosca
7
65 kgPacchiardo
8
60 kgMaestri
11
73 kgRota
15
62 kgToffali
16
75 kgVelasco
17
59 kgPichetta
18
56 kgSpreafico
19
69 kgCelano
21
65 kgSantoro
25
53 kgRiabushenko
28
61 kgBarbero Piantino
29
65 kgCarboni
30
61 kgPacioni
35
67 kgLizde
41
70 kg
Weight (KG) →
Result →
80
53
1
41
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REDA Francesco | 70 |
| 2 | PETILLI Simone | 65 |
| 3 | PÖSTLBERGER Lukas | 70 |
| 5 | TROIA Oliviero | 80 |
| 6 | CECCHIN Alberto | 70 |
| 7 | MOSCA Jacopo | 65 |
| 8 | PACCHIARDO Davide | 60 |
| 11 | MAESTRI Mirco | 73 |
| 15 | ROTA Lorenzo | 62 |
| 16 | TOFFALI Nicola | 75 |
| 17 | VELASCO Simone | 59 |
| 18 | PICHETTA Ricardo | 56 |
| 19 | SPREAFICO Matteo | 69 |
| 21 | CELANO Danilo | 65 |
| 25 | SANTORO Antonio | 53 |
| 28 | RIABUSHENKO Alexandr | 61 |
| 29 | BARBERO PIANTINO Massimiliano | 65 |
| 30 | CARBONI Giovanni | 61 |
| 35 | PACIONI Luca | 67 |
| 41 | LIZDE Seid | 70 |