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ISYS3375 Business Analytics

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  1. Download Facebook live sellers data set. Find explanations of variables on the same page. Considering this data set, answer the following questions. 
  • Calculate mean, median and mode for the variable number of shares. Interpret the results. Calculate range, variance and standard deviation for the variable “number of comments”. Interpret the results. Calculate quartiles and z-score for the variable “number of reactions”. Interpret the results. Develop scatterplots and correlation coefficients to investigate the relationship between the variables “number of reactions”, “number of comments” and “number of shares”. Interpret the results. Download Facebook live sellers data set. Find explanations of variables on the same page. Considering this data set, answer the following questions. 
  • Develop a pivot table to explain what kind of status type attracts the highest number of reactions. Interpret the results.Develop a pivot table to explain what kind of status attracts the highest number of likes. Interpret the results.Develop a pivot table to explain what kind of status types has the strongest and lowest influence in making the audience angry. Present a detailed argument. The following questions should be answered by referring to the excel sheet “Q3” of the Excel file provided for this assignment. Present a figure to explore whether there is a relationship between salary and productivity. 
  • The variable "Trustworthiness" identifies how much the manager trusts in an employee. What kind of predictive model do you suggest developing to predict "Trustworthiness" as the output variable and other variables as the inputvariable. Open excel sheet Q4 of the Excel file provided for this assignment. This Excel sheet is about the probability of accepting loan applications. If the bank accepts the customer loan application, it is shown by 1. If the bank rejects the customer loan application, it is shown by 0. In the Excel sheet, the variable “actual” indicates the actual probability of accepting a customer loan application. The variable “prediction” is the output of the logistics regression model indicating the probability of loan application acceptance.
  • Develop a multiple regression model including all the variables to predict the price? Interpret the output of the regression model. How much is the price of a new property with the postcode of 3003, area of 500 and 5 bedrooms? Is there anything concerning you? Considering the developed model, which property provides the best investment opportunity? Present a detailed argument.Do you think a polynomial degree 2 multiple regression model can be a better model to represent the housing price? Justify your answer.

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More ISYS3375 ISYS3375 Business Analytics : Questions & Answers

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You will need to complete the following tasks in SPSS and then submit the following files online under “Assignment 2 final submission”. You will also need to print them out and submit them as well as a hard copy:Activity 01:Enter all data from the spreadsheet “Data for Assignment 2 ...

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Q

In this assessment, you need to consider an organisation in an industry of your choice and articulate the steps needed to enable data driven decision making. Describe the current mode of operation, possible inefficiencies, available data and how this data may be used to provide efficiencies based on ...

View Answer
Q

“An individual comprehensive assignment is consisting of a written essay on how Management Science may be applied to improve managerial decision-making in your own organization. The maximum page length is 5 pages, and you can add some extra appendices if needed. The assignment should discuss a ...

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Q

Task 1 10 marks The data for Task 1 in the data file for Assignment represents the starting costs in thousands of dollars) for different kind of business. 1. Find mean, median, mode, range, variance and standard deviation separately for every type of business (2 marks) 2. For every business type con ...

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