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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hughes
1
72 kgStevens
2
55 kgRamsden
5
62 kgGarcía
7
54 kgGarcía
10
68 kgGrassi
13
56 kgDa Silva Souza
16
53 kg
1
72 kgStevens
2
55 kgRamsden
5
62 kgGarcía
7
54 kgGarcía
10
68 kgGrassi
13
56 kgDa Silva Souza
16
53 kg
Weight (KG) →
Result →
72
53
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUGHES Clara | 72 |
| 2 | STEVENS Evelyn | 55 |
| 5 | RAMSDEN Denise | 62 |
| 7 | GARCÍA Evelyn | 54 |
| 10 | GARCÍA Danielys del Valle | 68 |
| 13 | GRASSI Giuseppina | 56 |
| 16 | DA SILVA SOUZA Fernanda | 53 |