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 = 1 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Longo Borghini
1
59 kgBronzini
2
54 kgPaladin
3
59 kgValsecchi
6
58 kgBertizzolo
7
54 kgGuderzo
10
54 kgScandolara
12
52 kgArzuffi
14
52 kgVieceli
17
59 kgCecchini
19
52 kgBalsamo
20
55 kgPattaro
21
60 kgTrevisi
22
54 kgFrapporti
26
63 kgPollicini
28
57 kgBastianelli
34
60 kgSanguineti
35
61 kgPersico
37
53 kgCavalli
38
53 kgConfalonieri
41
56 kgPerini
49
62 kgGuarischi
50
57 kg
1
59 kgBronzini
2
54 kgPaladin
3
59 kgValsecchi
6
58 kgBertizzolo
7
54 kgGuderzo
10
54 kgScandolara
12
52 kgArzuffi
14
52 kgVieceli
17
59 kgCecchini
19
52 kgBalsamo
20
55 kgPattaro
21
60 kgTrevisi
22
54 kgFrapporti
26
63 kgPollicini
28
57 kgBastianelli
34
60 kgSanguineti
35
61 kgPersico
37
53 kgCavalli
38
53 kgConfalonieri
41
56 kgPerini
49
62 kgGuarischi
50
57 kg
Weight (KG) →
Result →
63
52
1
50
# | Rider | Weight (KG) |
---|---|---|
1 | LONGO BORGHINI Elisa | 59 |
2 | BRONZINI Giorgia | 54 |
3 | PALADIN Soraya | 59 |
6 | VALSECCHI Silvia | 58 |
7 | BERTIZZOLO Sofia | 54 |
10 | GUDERZO Tatiana | 54 |
12 | SCANDOLARA Valentina | 52 |
14 | ARZUFFI Alice Maria | 52 |
17 | VIECELI Lara | 59 |
19 | CECCHINI Elena | 52 |
20 | BALSAMO Elisa | 55 |
21 | PATTARO Francesca | 60 |
22 | TREVISI Anna | 54 |
26 | FRAPPORTI Simona | 63 |
28 | POLLICINI Silvia | 57 |
34 | BASTIANELLI Marta | 60 |
35 | SANGUINETI Ilaria | 61 |
37 | PERSICO Silvia | 53 |
38 | CAVALLI Marta | 53 |
41 | CONFALONIERI Maria Giulia | 56 |
49 | PERINI Chiara | 62 |
50 | GUARISCHI Barbara | 57 |