Multiple Regression Results Section Example. For example we can use multiple regression to assess the relationship between the number of dengue cases in Malaysia with factors such as urbanization rainfall temperature age group of population and incidence by states. The number of hours spent online relates significantly to the number of hours spent by a parent specifically the mother with her child.
This quickly done example of a research using multiple regression analysis revealed an interesting finding. In this case VO 2 maxA value of 0760 in this example indicates a good level of prediction. Regression allows you to estimate how a dependent variable changes as the independent variables change.
Revised on October 26 2020.
There are seven main assumptions when it comes to multiple regressions and we will go through each of them in turn as well as how to write them up in your results section. These assumptions deal with outliers collinearity of data independent errors random normal distribution of errors homoscedasticity linearity of data and non-zero. For example we can use multiple regression to assess the relationship between the number of dengue cases in Malaysia with factors such as urbanization rainfall temperature age group of population and incidence by states. Multiple regression allows you to use multiple predictors.