Cell phone production engineers have noticed that among a group of 138 customers aged 14-23 who send more text messages tend to use a higher percentage of their phone’s memory. What are the explanatory variable and response variable for this relationship?  Explanatory variable: age of customer Response variable: percentage of phone memory used Explanatory variable: percentage of phone memory used Response variable: age of customer Explanatory variable: number of text messages sent Response variable: percentage of phone memory used Explanatory variable: percentage of phone memory used Response variable: number of text messages sent

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Q: Statistics Question

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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.