. Suppose I am building a model where I have a linear relationship with more than one continuous dependent variables and one continuous independent variable and one categorical independent variable. Which type of regression model do I have? Polynomial Linear Regression Simple Linear Regression Multiple Linear Regression Multivariate Linear Regression 2. Suppose I want to build a model in which I want to predict whether or not a patient has entered remission (i.e., yes or no) given information from one or more variables. What type of regression model do I need to build? Poisson Regression Model Polynomial Regression Model Beta Regression Model Logistic Regression Model None of the above.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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