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 = 2 * weight - 94
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Cecchini
1
52 kgLongo Borghini
2
59 kgGuderzo
5
54 kgScandolara
9
52 kgArzuffi
11
52 kgSanguineti
12
61 kgLechner
15
52 kgValsecchi
16
58 kgBronzini
17
54 kgVieceli
19
59 kgPaladin
28
59 kgConfalonieri
29
56 kgPattaro
33
60 kgTrevisi
36
54 kgFrapporti
38
63 kgBastianelli
39
60 kgBartelloni
42
63 kg
1
52 kgLongo Borghini
2
59 kgGuderzo
5
54 kgScandolara
9
52 kgArzuffi
11
52 kgSanguineti
12
61 kgLechner
15
52 kgValsecchi
16
58 kgBronzini
17
54 kgVieceli
19
59 kgPaladin
28
59 kgConfalonieri
29
56 kgPattaro
33
60 kgTrevisi
36
54 kgFrapporti
38
63 kgBastianelli
39
60 kgBartelloni
42
63 kg
Weight (KG) →
Result →
63
52
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CECCHINI Elena | 52 |
| 2 | LONGO BORGHINI Elisa | 59 |
| 5 | GUDERZO Tatiana | 54 |
| 9 | SCANDOLARA Valentina | 52 |
| 11 | ARZUFFI Alice Maria | 52 |
| 12 | SANGUINETI Ilaria | 61 |
| 15 | LECHNER Eva | 52 |
| 16 | VALSECCHI Silvia | 58 |
| 17 | BRONZINI Giorgia | 54 |
| 19 | VIECELI Lara | 59 |
| 28 | PALADIN Soraya | 59 |
| 29 | CONFALONIERI Maria Giulia | 56 |
| 33 | PATTARO Francesca | 60 |
| 36 | TREVISI Anna | 54 |
| 38 | FRAPPORTI Simona | 63 |
| 39 | BASTIANELLI Marta | 60 |
| 42 | BARTELLONI Beatrice | 63 |