This is an essay assignment (1,000 to 1250 words). Could you answer my questions to help me develop my essay (just give me some ideas)? Hope that you can tell me what should be written in the first paragraph? What should be written in the second paragraph? And so on (1) Discuss the major applications of multiple regression model in real-life scenarios (applications in commercial organizations and multinational companies).
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.
This is an essay assignment (1,000 to 1250 words). Could you answer my questions to help me develop my essay (just give me some ideas)? Hope that you can tell me what should be written in the first paragraph? What should be written in the second paragraph? And so on
(1) Discuss the major applications of multiple regression model in real-life scenarios (applications in commercial organizations and multinational companies).
(2) Discuss the latest development of multiple regression model in practice (i.e. advanced multiple regression model. Such as its popularity, new technology, new elements, its current application). Your discussion should contain highly up-to-date summarizations of the latest development
(3) Reveal gaps between multiple regression model and knowledge required to work (i.e. advanced multiple regression model ). The discussion should contain highly reflective knowledge gap identification.
(4) Suggest how you can close the gap. Suggestions should be practical, realistic and achievable
[1] Please offer comprehensive discussions for each question supported by relevant examples
[2] Use information from newspapers, reports, journals, company database, or website
[3] Please offer the reference list
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