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 = 0.2 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Stiajkina
1
51 kgMatusiak
9
58 kgBoyarskaya
12
67 kgCantele
13
58 kgKashchyshyna
21
53 kgBrzeźna
22
56 kgVisser
25
59 kg
1
51 kgMatusiak
9
58 kgBoyarskaya
12
67 kgCantele
13
58 kgKashchyshyna
21
53 kgBrzeźna
22
56 kgVisser
25
59 kg
Weight (KG) →
Result →
67
51
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STIAJKINA Tatiana | 51 |
| 9 | MATUSIAK Bogumiła | 58 |
| 12 | BOYARSKAYA Natalia | 67 |
| 13 | CANTELE Noemi | 58 |
| 21 | KASHCHYSHYNA Oksana | 53 |
| 22 | BRZEŹNA Paulina | 56 |
| 25 | VISSER Adrie | 59 |