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 = -0.4 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bastianelli
1
60 kgBalsamo
2
55 kgSanguineti
3
61 kgCavalli
4
53 kgPaladin
6
59 kgBertizzolo
9
54 kgLongo Borghini
11
59 kgGuderzo
12
54 kgVieceli
15
59 kgPaternoster
17
53 kgPirrone
19
63 kgConsonni
20
59 kgPerini
21
62 kgPisciali
27
63 kgCecchini
32
52 kgConfalonieri
36
56 kgArzuffi
37
52 kgPollicini
42
57 kgFidanza
46
60 kgValsecchi
48
58 kgBarbieri
49
55 kg
1
60 kgBalsamo
2
55 kgSanguineti
3
61 kgCavalli
4
53 kgPaladin
6
59 kgBertizzolo
9
54 kgLongo Borghini
11
59 kgGuderzo
12
54 kgVieceli
15
59 kgPaternoster
17
53 kgPirrone
19
63 kgConsonni
20
59 kgPerini
21
62 kgPisciali
27
63 kgCecchini
32
52 kgConfalonieri
36
56 kgArzuffi
37
52 kgPollicini
42
57 kgFidanza
46
60 kgValsecchi
48
58 kgBarbieri
49
55 kg
Weight (KG) →
Result →
63
52
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BASTIANELLI Marta | 60 |
| 2 | BALSAMO Elisa | 55 |
| 3 | SANGUINETI Ilaria | 61 |
| 4 | CAVALLI Marta | 53 |
| 6 | PALADIN Soraya | 59 |
| 9 | BERTIZZOLO Sofia | 54 |
| 11 | LONGO BORGHINI Elisa | 59 |
| 12 | GUDERZO Tatiana | 54 |
| 15 | VIECELI Lara | 59 |
| 17 | PATERNOSTER Letizia | 53 |
| 19 | PIRRONE Elena | 63 |
| 20 | CONSONNI Chiara | 59 |
| 21 | PERINI Chiara | 62 |
| 27 | PISCIALI Francesca | 63 |
| 32 | CECCHINI Elena | 52 |
| 36 | CONFALONIERI Maria Giulia | 56 |
| 37 | ARZUFFI Alice Maria | 52 |
| 42 | POLLICINI Silvia | 57 |
| 46 | FIDANZA Martina | 60 |
| 48 | VALSECCHI Silvia | 58 |
| 49 | BARBIERI Rachele | 55 |