What type of analysis and descriptive statistics should be conducted to best depict the relationship between the following variables? Also, specify the type of variable in each question ( such as nominal, ordinal, continuous, etc) and the best graph to use to depict relationships between variables such as bar, scatterplot, etc. 1. Is the number of days in the Intensive Care Unit (ICU) associated with the number of hours in the operating room? Answer this question using both a continuous and categorical variable for ICU variable. 2. the relationship between the number of days in the ICU (both as a continuous and a categorical variable) and gender?
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.
What type of analysis and
1. Is the number of days in the Intensive Care Unit (ICU) associated with the number of hours in the operating room? Answer this question using both a continuous and categorical variable for ICU variable.
2. the relationship between the number of days in the ICU (both as a continuous and a categorical variable) and gender?
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