1) Management wants to determine whether number of coffees per week bought is related to number of muffins bought per week. Which test would you run to analyze this data? Simple Correlation Simple Regression Multiple Regression None of the tests above 2)You want to test whether the following variables predict money spent online: statement 1 (“I am an impulsive buyer” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree) and statement 2 (“It takes me a long time to decide what to buy before I buy it” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree). Which test would you run to analyze this data? Simple Correlation Simple Regression Multiple Regression None of the tests above 3) A coffee shop, wishing to demonstrate the effectiveness of their advertising methods, tests whether numbers of ads predicts sales. Which test would you run to analyze this data? Simple Correlation Simple Regression Multiple Regression None of the tests above 4)______ is a statistical procedure for analyzing causal relationships between a continuous dependent variable and one or more independent variables. z-test analysis Chi-square analysis Correlation analysis Regression Analysis
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.
1) Management wants to determine whether number of coffees per week bought is related to number of muffins bought per week. Which test would you run to analyze this data?
Simple Regression
Multiple Regression
None of the tests above
2)You want to test whether the following variables predict money spent online: statement 1 (“I am an impulsive buyer” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree) and statement 2 (“It takes me a long time to decide what to buy before I buy it” 7-point Likert scale, 1 = strongly disagree, 7 = strongly agree). Which test would you run to analyze this data?
None of the tests above
3) A coffee shop, wishing to demonstrate the effectiveness of their advertising methods, tests whether numbers of ads predicts sales. Which test would you run to analyze this data?
Simple Correlation
Simple Regression
Multiple Regression
None of the tests above
4)______ is a statistical procedure for analyzing causal relationships between a continuous dependent variable and one or more independent variables.
z-test analysis
Chi-square analysis
Correlation analysis
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