Dataware is trying to determine whether to give a $10 rebate, to cut the price $6, or to have no price change on a software product. Currently, 40,000 units of the product are sold each week for $45. The variable cost of the product is $5. The most likely case appears to be that a $10 rebate will increas e sales 30%, and half of all people will claim the rebate. For the price cut, the most likely case is that sales will increase 20%. a) Build the basic model to compute the profits of the three options. b) What increase in sales from the rebate would make the r ebate and price cut equally desirable? c) Dataware does not really know the increase in sales that will result from a rebate or price cut. However, the company is sure that the rebate will increase sales by between 15% and 40% and that the price cut will incr ease sales by between 10% and 30%. Perform a sensitivity analysis that could be used to help determine Dataware ’ s course of action

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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.