Based on the given data, is the purchase of hot dogs independent of the purchase of hamburgers? If not, what kind of correlation relationship exists between the two? (c) Compare the use of the all confidence, max confidence, Kulczynski, and cosine measures with lift and correlation on the given data in Table 3.
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.
The Table 3 table summarizes supermarket transaction data, where
hot dogs refers to the transactions containing hot dogs, hot dogs refers to the
transactions that do not contain hot dogs, hamburgers refers to the transactions
containing hamburgers, and hamburgers refers to the transactions that do not
contain hamburgers
(b) Based on the given data, is the purchase of hot dogs independent of the
purchase of hamburgers? If not, what kind of
between the two?
(c) Compare the use of the all confidence, max confidence, Kulczynski, and cosine
measures with lift and correlation on the given data in Table 3.
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