Which of the four types of analysis could be used by logistical regression and why? (predictive,descriptive,diagnostic,prescriptive)
The predictive analysis could be used by logistical regression because in logistic regression modeling our objective is to predict a dichotomous variable which takes only two values in the form of 0 and 1 or similar to this. This is the most basic modeling technique to predict a dichotomous variable and widely used in academics and industry.
Which of the four types of analysis could be used by logistical regression and why? (predictive,descriptive,diagnostic,prescriptive)
Data visualization falls best under which type of analysis? a. Descriptive b. Predictive c. Prescriptive d. None of the above
Discuss the relationship between classification and the concepts of descriptive, predictive, and prescriptive analytics. Also, discuss their relationship to the types of business questions addressed in each case.
Discuss the basic statistical models used in descriptive data mining. Discuss the various predictive models for data mining. Provide a comprehensive answer. Identify which models are applicable for which types of predictive scenarios.
Data are used in business to develop solutions and drive business results in different ways. Describe how your business or industry uses descriptive, predictive, and prescriptive analytics as part of the business. In replies to peers, provide analysis and additional alternatives to types of data used in analytics.
List three types of descriptive -statistics- commonly used in research. Why do we use descriptive statistics in both descriptive methods research and experimental methods research?
What are the two types of data used in regression analysis?
which of the following descriptive mining methods might be used ton discover unexpected or atypical associations association analysis linear regression association analysis
Regression analysis (also known as predictive analytics) attempts to establish: multicollinearity linearity in the relationship between independent variables multiobjectivity a mathematical relationship between a dependent variable, for which future values will be forecast, and one or more independent variables with known values linearity in the relationship between a dependent variable and a set of independent variables
What is one of the four elements of the process cycle for customer relationship management? Select one: a. customer interaction b. customer satisfaction c. customer loyalty d. customer profitability e. customer support It is possible today to calculate the total financial returns for each customer. Select one: True False What type of marketing analytics is being used when data is used from likes for posts on Facebook? Select one: a. Web analytics b. retail analytics c. demographic analytics d. social...
I. In a regression analysis of banks, four types of banks were involved, namely, commercial banks, mutual banks, community banks and savings banks. In this study, Y is the previous year's profit (in millions of dollars), X, is the size of the bank (in millions of dollars) and type of bank = X, X, X, which are indicator variables as coded below. Type of Bank X X X , Commercial 1 0 Mutual Community Savings 0 0 0 The first-order...