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 = 1.1 * weight - 44
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Cecchini
1
52 kgLongo Borghini
2
59 kgBronzini
4
54 kgPaladin
5
59 kgGuderzo
7
54 kgVieceli
9
59 kgScandolara
12
52 kgBarbieri
14
55 kgConfalonieri
15
56 kgArzuffi
22
52 kgBertizzolo
25
54 kgValsecchi
26
58 kgGuarischi
27
57 kgBartelloni
28
63 kgAlzini
31
64 kgPersico
37
53 kgSanguineti
40
61 kg
1
52 kgLongo Borghini
2
59 kgBronzini
4
54 kgPaladin
5
59 kgGuderzo
7
54 kgVieceli
9
59 kgScandolara
12
52 kgBarbieri
14
55 kgConfalonieri
15
56 kgArzuffi
22
52 kgBertizzolo
25
54 kgValsecchi
26
58 kgGuarischi
27
57 kgBartelloni
28
63 kgAlzini
31
64 kgPersico
37
53 kgSanguineti
40
61 kg
Weight (KG) →
Result →
64
52
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CECCHINI Elena | 52 |
| 2 | LONGO BORGHINI Elisa | 59 |
| 4 | BRONZINI Giorgia | 54 |
| 5 | PALADIN Soraya | 59 |
| 7 | GUDERZO Tatiana | 54 |
| 9 | VIECELI Lara | 59 |
| 12 | SCANDOLARA Valentina | 52 |
| 14 | BARBIERI Rachele | 55 |
| 15 | CONFALONIERI Maria Giulia | 56 |
| 22 | ARZUFFI Alice Maria | 52 |
| 25 | BERTIZZOLO Sofia | 54 |
| 26 | VALSECCHI Silvia | 58 |
| 27 | GUARISCHI Barbara | 57 |
| 28 | BARTELLONI Beatrice | 63 |
| 31 | ALZINI Martina | 64 |
| 37 | PERSICO Silvia | 53 |
| 40 | SANGUINETI Ilaria | 61 |