Is regression a good idea why?
Using regression analysis gives you the ability to separate the effects of complicated research questions. You can disentangle the spaghetti noodles by modeling and controlling all relevant variables, and then assess the role that each one plays. There are many different regression analysis procedures.
Is the measure of the total variation in the dependent variable?
How much of the total variation in the dependent variable is explained by the independent variable? The measure R2, or R-square, indicates the proportion of total variation in the dependent variable “determined” by its linear relationship to the independent variable.
Can a dependent variable be continuous in OLS regression?
BTW, test scores and GPS are continuous y-variables. In OLS regression, the independent variables may be of any kind 🙂 Christer is right! If your dependent variable is ordinal with more than 5 points, you can ensure the “statistical continuity”. If you have a dependent variable with less than 5 points you have to do a Polychoric correlation.
When to treat a variable as a continuous variable?
Many researchers TREAT these variable as interval or continuous variables in order to justify OLS regression. If the y has plenty observations for all 7 values, this works well in most cases. If not, some kind of ordered regression analysis is preferable. BTW, test scores and GPS are continuous y-variables.
Can a continuous variable be used in linear regression?
The application of the statistical instruments is doubtful although there is no information on the explanatory variables it could hardly be used the linear regression. This method is applicable only for the continuous quantitative variables. For the Economics it is unacceptable.
How to use regression with multiple dependent variables?
Basically, it is a regression framework which relies on the idea of building successive (orthogonal) linear combinations of the variables belonging to each block such that their covariance is maximal. Here we consider that one block X contains explanatory variables, and the other block Y responses variables, as shown below: