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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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Tellus molestie nunc non blandit massa enim nec dui. Tellus molestie nunc non blandit massa enim nec dui. Ac tortor vitae purus faucibus ornare suspendisse sed nisi. Pharetra et ultrices neque ornare aenean euismod. Pretium viverra suspendisse potenti nullam ac tortor vitae. Morbi quis commodo odio aenean sed. At consectetur lorem donec massa sapien faucibus et. Nisi quis eleifend quam adipiscing vitae proin sagittis nisl rhoncus. Duis at tellus at urna condimentum mattis pellentesque. Vivamus at augue eget arcu dictum varius duis at. Justo donec enim diam vulputate ut. Blandit libero volutpat sed cras ornare arcu. Ac felis donec et odio pellentesque diam volutpat commodo. Convallis a cras semper auctor neque. Tempus iaculis urna id volutpat lacus. Tortor consequat id porta nibh.

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Justification of Research Question

University HI6007: Statistics for Business Decisions Assessment 2: Group Assignment Your Names Date Solutions 1. The topic is chosen from the Australian Real Estate Market. The research question that can be addressed using amultiple linear regression model is; “How does the number of ba ...

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Health To Environmental Factors

FACTORS AFFECTING OPINIONS ON CYCLING Name Subject Student Number Executive Summary There is need to improve cycling in most towns to reduce congestion and carbon (II) oxide release from vehicles as well as boost health benefits of users. One of the ways towards achieving this is by seeking the ...

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Predicting the Coffee Stock Prices Using Machine Learning

Predicting the Coffee Stock Prices Using Machine Learning Executive Summary A report presenting the prediction of stock market value of coffee in the coming 4 years is analyzed. The problem is selecting effective tool for the prediction of accurate results. The objective is to know if the stock ...

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RCM3711 Computational Methods

1. For the equationx4−43x3−12x2−4 = 0:(a) Graph it and determine the number ofx-intercepts.(b) Solve it by direct iteration. Determine at least three different methods of writing the equation asx=g(x), and show that the value of the derivative near the solution is linked to the con ...

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