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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Moscon
1
71 kgFelline
2
68 kgQuinziato
3
74 kgCataldo
4
64 kgCattaneo
5
67 kgMosca
7
65 kgTroia
9
80 kgOss
10
75 kgBertazzo
11
75 kgGanna
12
83 kgFrapporti
13
74 kgMarangoni
14
74 kgBoaro
15
64 kgScartezzini
16
63 kgVelasco
17
59 kgFrapporti
18
69 kgTonelli
19
64 kgWackermann
20
68 kgBallerini
21
77 kgStacchiotti
22
70 kgSterbini
23
67 kg
1
71 kgFelline
2
68 kgQuinziato
3
74 kgCataldo
4
64 kgCattaneo
5
67 kgMosca
7
65 kgTroia
9
80 kgOss
10
75 kgBertazzo
11
75 kgGanna
12
83 kgFrapporti
13
74 kgMarangoni
14
74 kgBoaro
15
64 kgScartezzini
16
63 kgVelasco
17
59 kgFrapporti
18
69 kgTonelli
19
64 kgWackermann
20
68 kgBallerini
21
77 kgStacchiotti
22
70 kgSterbini
23
67 kg
Weight (KG) →
Result →
83
59
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | MOSCON Gianni | 71 |
2 | FELLINE Fabio | 68 |
3 | QUINZIATO Manuel | 74 |
4 | CATALDO Dario | 64 |
5 | CATTANEO Mattia | 67 |
7 | MOSCA Jacopo | 65 |
9 | TROIA Oliviero | 80 |
10 | OSS Daniel | 75 |
11 | BERTAZZO Liam | 75 |
12 | GANNA Filippo | 83 |
13 | FRAPPORTI Mattia | 74 |
14 | MARANGONI Alan | 74 |
15 | BOARO Manuele | 64 |
16 | SCARTEZZINI Michele | 63 |
17 | VELASCO Simone | 59 |
18 | FRAPPORTI Marco | 69 |
19 | TONELLI Alessandro | 64 |
20 | WACKERMANN Luca | 68 |
21 | BALLERINI Davide | 77 |
22 | STACCHIOTTI Riccardo | 70 |
23 | STERBINI Simone | 67 |