2, For each of the following regressions and proposed extra variables, state whether you expect the extra variable to increase or decrease R2 if added to the equation, and state whether you expect the extra variable to increase or decrease R if added to the equation. Explain your reasoning. a. The average monthly rent in USD for a 1 bedroom apartment within 2 miles of UW campus as a function of the number of students enrolled at UW in a given year; the number of Gigabytes of hard drive space of UW students in a given year b. The average monthly rent in USD for a 1 bedroom apartment within 2 miles of UW campus as a function of the number of students enrolled at UW in a given year; the cost for a semester of room and board for a UW dormitory c. The average monthly rent in USD for a 1 bedroom apartment within 2 miles of UW campus as a function of the number of students enrolled at UW in a given year; the percentage of Americans who say they dislike pizza in a given year
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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