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 = -0.1 * weight + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jasinska
2
57 kgAmialiusik
3
53 kgHall
6
52 kgBeveridge
8
62 kgJackson
9
63 kgKirchmann
13
59 kgCanuel
17
51 kg
2
57 kgAmialiusik
3
53 kgHall
6
52 kgBeveridge
8
62 kgJackson
9
63 kgKirchmann
13
59 kgCanuel
17
51 kg
Weight (KG) →
Result →
63
51
2
17
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JASINSKA Małgorzata | 57 |
| 3 | AMIALIUSIK Alena | 53 |
| 6 | HALL Katie | 52 |
| 8 | BEVERIDGE Allison | 62 |
| 9 | JACKSON Alison | 63 |
| 13 | KIRCHMANN Leah | 59 |
| 17 | CANUEL Karol-Ann | 51 |