For the following situation, indicate which analysis you would run: Management wants to determine whether number of bagels bought is related to number of servings of cream cheese. Simple Regression Simple Correlation Multiple Regression None of the tests 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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For the following situation, indicate which analysis you would run:
Management wants to determine whether number of bagels bought is related to number of servings of cream cheese.
Simple Regression
Simple Correlation Multiple Regression
None of the tests above
QUESTION 2
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For the following situation, indicate which analysis you would run:
You want to test whether the following variables predict Salary: statement 1 (“The quantitative courses I took in school were the most useful courses” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree) and statement 2 (“Very few topics can be understood if you do not understand the arithmetic” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree).
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