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 = 0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Longo Borghini
1
59 kgConsonni
2
59 kgBarbieri
4
55 kgBalsamo
6
55 kgTrevisi
15
54 kgGuarischi
16
57 kgPaladin
18
59 kgGuazzini
20
65 kgMissiaggia
24
53 kgArzuffi
26
52 kgCasagranda
27
58 kgVitillo
32
51 kgConfalonieri
36
56 kgZanardi
38
56 kgPersico
39
53 kgCecchini
40
52 kgPaternoster
42
53 kgLaporta
44
62 kgAlzini
48
64 kgSanguineti
58
61 kgCollinelli
59
62 kgMalcotti
71
52 kg
1
59 kgConsonni
2
59 kgBarbieri
4
55 kgBalsamo
6
55 kgTrevisi
15
54 kgGuarischi
16
57 kgPaladin
18
59 kgGuazzini
20
65 kgMissiaggia
24
53 kgArzuffi
26
52 kgCasagranda
27
58 kgVitillo
32
51 kgConfalonieri
36
56 kgZanardi
38
56 kgPersico
39
53 kgCecchini
40
52 kgPaternoster
42
53 kgLaporta
44
62 kgAlzini
48
64 kgSanguineti
58
61 kgCollinelli
59
62 kgMalcotti
71
52 kg
Weight (KG) →
Result →
65
51
1
71
# | Rider | Weight (KG) |
---|---|---|
1 | LONGO BORGHINI Elisa | 59 |
2 | CONSONNI Chiara | 59 |
4 | BARBIERI Rachele | 55 |
6 | BALSAMO Elisa | 55 |
15 | TREVISI Anna | 54 |
16 | GUARISCHI Barbara | 57 |
18 | PALADIN Soraya | 59 |
20 | GUAZZINI Vittoria | 65 |
24 | MISSIAGGIA Alessia | 53 |
26 | ARZUFFI Alice Maria | 52 |
27 | CASAGRANDA Andrea | 58 |
32 | VITILLO Matilde | 51 |
36 | CONFALONIERI Maria Giulia | 56 |
38 | ZANARDI Silvia | 56 |
39 | PERSICO Silvia | 53 |
40 | CECCHINI Elena | 52 |
42 | PATERNOSTER Letizia | 53 |
44 | LAPORTA Linda | 62 |
48 | ALZINI Martina | 64 |
58 | SANGUINETI Ilaria | 61 |
59 | COLLINELLI Sofia | 62 |
71 | MALCOTTI Barbara | 52 |