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 - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Velo
1
70 kgGualdi
3
68 kgSerpellini
6
75 kgFerrari
8
74 kgBrasi
12
67 kgCollinelli
13
77 kg
1
70 kgGualdi
3
68 kgSerpellini
6
75 kgFerrari
8
74 kgBrasi
12
67 kgCollinelli
13
77 kg
Weight (KG) →
Result →
77
67
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VELO Marco | 70 |
| 3 | GUALDI Mirko | 68 |
| 6 | SERPELLINI Marco | 75 |
| 8 | FERRARI Diego | 74 |
| 12 | BRASI Rossano | 67 |
| 13 | COLLINELLI Andrea | 77 |