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 - 13
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Jaramillo
1
63 kgLemus
2
61 kgJones
5
64 kgSummerhill
7
70 kgZirbel
10
91 kg
1
63 kgLemus
2
61 kgJones
5
64 kgSummerhill
7
70 kgZirbel
10
91 kg
Weight (KG) →
Result →
91
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JARAMILLO Daniel | 63 |
| 2 | LEMUS Luis | 61 |
| 5 | JONES Carter | 64 |
| 7 | SUMMERHILL Daniel | 70 |
| 10 | ZIRBEL Tom | 91 |