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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Guerini
1
65 kgJalabert
2
66 kgBouvard
5
70 kgHeulot
7
69 kgMoreau
8
71 kgGoubert
9
62 kgDurand
10
76 kg
1
65 kgJalabert
2
66 kgBouvard
5
70 kgHeulot
7
69 kgMoreau
8
71 kgGoubert
9
62 kgDurand
10
76 kg
Weight (KG) →
Result →
76
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUERINI Giuseppe | 65 |
| 2 | JALABERT Laurent | 66 |
| 5 | BOUVARD Gilles | 70 |
| 7 | HEULOT Stéphane | 69 |
| 8 | MOREAU Christophe | 71 |
| 9 | GOUBERT Stéphane | 62 |
| 10 | DURAND Jacky | 76 |