AMBIGUOUS COMMON Low 18.0 7.8 Load High Load 6.1 6.3 Source: Miller, E. G., & Kahn, B. E. "Shades of meaning: The effect of color and flavor names on consumer choice," Journal of Consumer Research, Vol. 32, June 2005 (Table 1). An interaction model for E(y) as a function of Flavor Name and Cognitive Load is studied E(y) = Bo + B1xX1 + B2x2 + Bzx1X2, where S 1 { 1 if high if ambiguous and X2 = = Ix if low if common Use the information in the table to estimate the B 's in the interaction model. 1. Bo P = %3D 2. P = %3D 3. P - %3D 4. ßz = %D
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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