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 + 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Colnaghi
1
63 kgZana
2
65 kgMazzucco
3
69 kgBagioli
7
60 kgPetrucci
8
56 kgŠtoček
13
80 kgNovikov
17
65 kgIacchi
19
59 kgSidorov
31
62 kgSpena
33
65 kgGaribbo
40
57 kgFrigo
44
70 kgSpadini
47
62 kgZandomeneghi
48
57 kgMarcellusi
51
62 kgPopov
52
75 kgBenz
59
68 kgBonaldo
67
68 kgMarini
68
67 kgBenedetti
69
63 kg
1
63 kgZana
2
65 kgMazzucco
3
69 kgBagioli
7
60 kgPetrucci
8
56 kgŠtoček
13
80 kgNovikov
17
65 kgIacchi
19
59 kgSidorov
31
62 kgSpena
33
65 kgGaribbo
40
57 kgFrigo
44
70 kgSpadini
47
62 kgZandomeneghi
48
57 kgMarcellusi
51
62 kgPopov
52
75 kgBenz
59
68 kgBonaldo
67
68 kgMarini
68
67 kgBenedetti
69
63 kg
Weight (KG) →
Result →
80
56
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLNAGHI Luca | 63 |
| 2 | ZANA Filippo | 65 |
| 3 | MAZZUCCO Fabio | 69 |
| 7 | BAGIOLI Andrea | 60 |
| 8 | PETRUCCI Mattia | 56 |
| 13 | ŠTOČEK Matúš | 80 |
| 17 | NOVIKOV Savva | 65 |
| 19 | IACCHI Alessandro | 59 |
| 31 | SIDOROV Igor | 62 |
| 33 | SPENA Fabio | 65 |
| 40 | GARIBBO Nicolò | 57 |
| 44 | FRIGO Marco | 70 |
| 47 | SPADINI Enrico | 62 |
| 48 | ZANDOMENEGHI Matteo | 57 |
| 51 | MARCELLUSI Martin | 62 |
| 52 | POPOV Anton | 75 |
| 59 | BENZ Pirmin | 68 |
| 67 | BONALDO Kevin | 68 |
| 68 | MARINI Alberto | 67 |
| 69 | BENEDETTI Gabriele | 63 |