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 = 0.3 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Bettini
1
58 kgReda
2
70 kgSimeoni
5
68 kgGiunti
7
62 kgPidgornyy
8
72 kgMasciarelli
9
55 kgRubiano
11
58 kgPozzovivo
13
53 kgMasciarelli
14
61 kgMasciarelli
15
63 kgCommesso
19
66 kgDonati
20
71 kgGrivko
21
70 kgGiordani
22
68 kgNiemiec
24
62 kgAnzà
30
58 kgCannone
31
75 kg
1
58 kgReda
2
70 kgSimeoni
5
68 kgGiunti
7
62 kgPidgornyy
8
72 kgMasciarelli
9
55 kgRubiano
11
58 kgPozzovivo
13
53 kgMasciarelli
14
61 kgMasciarelli
15
63 kgCommesso
19
66 kgDonati
20
71 kgGrivko
21
70 kgGiordani
22
68 kgNiemiec
24
62 kgAnzà
30
58 kgCannone
31
75 kg
Weight (KG) →
Result →
75
53
1
31
# | Rider | Weight (KG) |
---|---|---|
1 | BETTINI Paolo | 58 |
2 | REDA Francesco | 70 |
5 | SIMEONI Filippo | 68 |
7 | GIUNTI Massimo | 62 |
8 | PIDGORNYY Ruslan | 72 |
9 | MASCIARELLI Francesco | 55 |
11 | RUBIANO Miguel Angel | 58 |
13 | POZZOVIVO Domenico | 53 |
14 | MASCIARELLI Andrea | 61 |
15 | MASCIARELLI Simone | 63 |
19 | COMMESSO Salvatore | 66 |
20 | DONATI Alessandro | 71 |
21 | GRIVKO Andrey | 70 |
22 | GIORDANI Leonardo | 68 |
24 | NIEMIEC Przemysław | 62 |
30 | ANZÀ Santo | 58 |
31 | CANNONE Donato | 75 |