Alternative A Alternative B Std. Std. Expected Deviation Expected Deviation Cash End of Cash of Cash of Cash Year Flow Flow Flow Flow -88,000 $0 -$12,000 $500 1 4,000 600 4,500 4,500 4,500 4,500 300 6,000 600 300 3 4,000 800 300 4 6,000 800 300
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.
Two investment alternatives are being considered. The data below have been estimated by a panel of experts, and all cash flows are assumed to be independent. Life is not a variable. With MARR= 15% per year, determine the mean and standard deviation of the incremental PW [i.e., ∆ (B−A)].
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