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 = 1.7 * weight - 79
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Cavalli
1
53 kgBertizzolo
2
54 kgBronzini
3
54 kgBastianelli
4
60 kgPersico
5
53 kgLongo Borghini
12
59 kgPollicini
15
57 kgArzuffi
16
52 kgSanguineti
17
61 kgPirrone
21
63 kgPattaro
23
60 kgPaladin
24
59 kgValsecchi
25
58 kgGuderzo
26
54 kgCecchini
27
52 kgAlzini
28
64 kgBarbieri
36
55 kgConsonni
37
59 kgGuarischi
39
57 kgPerini
40
62 kgFrapporti
42
63 kgPisciali
47
63 kg
1
53 kgBertizzolo
2
54 kgBronzini
3
54 kgBastianelli
4
60 kgPersico
5
53 kgLongo Borghini
12
59 kgPollicini
15
57 kgArzuffi
16
52 kgSanguineti
17
61 kgPirrone
21
63 kgPattaro
23
60 kgPaladin
24
59 kgValsecchi
25
58 kgGuderzo
26
54 kgCecchini
27
52 kgAlzini
28
64 kgBarbieri
36
55 kgConsonni
37
59 kgGuarischi
39
57 kgPerini
40
62 kgFrapporti
42
63 kgPisciali
47
63 kg
Weight (KG) →
Result →
64
52
1
47
# | Rider | Weight (KG) |
---|---|---|
1 | CAVALLI Marta | 53 |
2 | BERTIZZOLO Sofia | 54 |
3 | BRONZINI Giorgia | 54 |
4 | BASTIANELLI Marta | 60 |
5 | PERSICO Silvia | 53 |
12 | LONGO BORGHINI Elisa | 59 |
15 | POLLICINI Silvia | 57 |
16 | ARZUFFI Alice Maria | 52 |
17 | SANGUINETI Ilaria | 61 |
21 | PIRRONE Elena | 63 |
23 | PATTARO Francesca | 60 |
24 | PALADIN Soraya | 59 |
25 | VALSECCHI Silvia | 58 |
26 | GUDERZO Tatiana | 54 |
27 | CECCHINI Elena | 52 |
28 | ALZINI Martina | 64 |
36 | BARBIERI Rachele | 55 |
37 | CONSONNI Chiara | 59 |
39 | GUARISCHI Barbara | 57 |
40 | PERINI Chiara | 62 |
42 | FRAPPORTI Simona | 63 |
47 | PISCIALI Francesca | 63 |