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 + 24
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Velasco
1
59 kgVlasov
3
68 kgMartinelli
5
71 kgPacchiardo
6
60 kgTizza
8
58 kgMosca
9
65 kgNardelli
10
62 kgKump
19
68 kgCarboni
20
61 kgTroia
21
80 kgZilio
23
65 kgBrkic
26
58 kgPearson
27
53 kgDi Sante
28
62 kgKnox
34
58 kgMamykin
36
62 kgMaestri
37
73 kgPacioni
41
67 kgRiabushenko
42
61 kgHindley
46
60 kgKobernyak
47
59 kgMarengo
54
69 kgGarby
55
63 kgOrsini
57
67 kg
1
59 kgVlasov
3
68 kgMartinelli
5
71 kgPacchiardo
6
60 kgTizza
8
58 kgMosca
9
65 kgNardelli
10
62 kgKump
19
68 kgCarboni
20
61 kgTroia
21
80 kgZilio
23
65 kgBrkic
26
58 kgPearson
27
53 kgDi Sante
28
62 kgKnox
34
58 kgMamykin
36
62 kgMaestri
37
73 kgPacioni
41
67 kgRiabushenko
42
61 kgHindley
46
60 kgKobernyak
47
59 kgMarengo
54
69 kgGarby
55
63 kgOrsini
57
67 kg
Weight (KG) →
Result →
80
53
1
57
# | Rider | Weight (KG) |
---|---|---|
1 | VELASCO Simone | 59 |
3 | VLASOV Aleksandr | 68 |
5 | MARTINELLI Davide | 71 |
6 | PACCHIARDO Davide | 60 |
8 | TIZZA Marco | 58 |
9 | MOSCA Jacopo | 65 |
10 | NARDELLI Stefano | 62 |
19 | KUMP Marko | 68 |
20 | CARBONI Giovanni | 61 |
21 | TROIA Oliviero | 80 |
23 | ZILIO Giacomo | 65 |
26 | BRKIC Benjamin | 58 |
27 | PEARSON Daniel | 53 |
28 | DI SANTE Antonio | 62 |
34 | KNOX James | 58 |
36 | MAMYKIN Matvey | 62 |
37 | MAESTRI Mirco | 73 |
41 | PACIONI Luca | 67 |
42 | RIABUSHENKO Alexandr | 61 |
46 | HINDLEY Jai | 60 |
47 | KOBERNYAK Evgeny | 59 |
54 | MARENGO Umberto | 69 |
55 | GARBY Marc Christian | 63 |
57 | ORSINI Umberto | 67 |