A market researcher company requested all teachers of a particular school to fill up a questionnaire in relation to their product market study. The following are some of the information supplied by the teachers: • highest educational attainment • predominant hair color • body temperature • civil status • brand of laundry soap being used • total household expenditures last month in pesos • number of children in the household • number of hours standing in queue while waiting to be served by a bank teller •amount spent on rice last week by the household distance travelled by the teacher in going to school • time (in hours) consumed on Facebook on a particular day Which of the variables are qualitative? Which are quantitative? Among the quantitative variables, classify them further as discrete or continuous. TYPE OF QUANTITATIVE VARIABLE VARIABLE TYPE OF VARIABLE 1. Highest educational attainment 2. Predominant hair color 3. Civil status 4. Brand of laundry soap being used 5. Total household expenditures last month in pesos 6. Number of children in the household

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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.