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multiple regression, help needed as soon as possible to complete assessment. All workings and formulas must be shown 😔 😔

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Assessment 3: Short Answer Questions Weighting: 5% Suggested due date: November 12 Related Course Objectives:  Interpret the results of output generated from statistical computing software  Evaluate the results of hypothesis tests  Draw conclusions from statistical analyses  Accept the wide range of statistical techniques available for analyzing data  Display confidence in using and interpreting statistical analysis. Answer the following questions and submit your response to the relevant assignment dropbox on the course page. A company conducts a study to see how blood pressure is influenced by an employee’s age, weight, and job stress level classified as high stress (X2) and low stress (X3). Data recorded on 24 employees treated as a random sample has been conducted. The tables below represent the SPSS multiple regression output. Assume that there are no violations of assumptions. a. Determine the multiple regression equation for the data. b. Interpret the coefficient of determination. c. At the 5% significance level, determine if the model is useful for predicting blood pressure. In responding, construct and test any appropriate hypothesis. d. At the 5% significance level, does it appear that age and weight can be removed from the model as unnecessary? In responding, construct and test any appropriate hypothesis. Criteria Excellent Good Acceptable Poor Computational correctness of answer (10 marks) Demonstrated a strong understanding of the computational concepts and strength of the relationship. Clearly provided all relevant workings with accuracy. 9-10 marks Showed a good understanding of the computational concepts and strength of the relationship. Provided most of the workings with accuracy. 5-8 marks Demonstrated some knowledge of what was required but there were challenges in the logic of their calculations and expression of the strength of the relationship. 1-4 marks No knowledge of the required computations. Computations provided followed no logic and the strength of the relationship was not demonstrated. 0 marks Regression Model (10 marks) Demonstrated a very good understanding of model fit in the context of the question 5 marks Demonstrated a good understanding of model fit in the context of the question. 3-4 marks Demonstrated some understanding of what the results indicate. Expression of what the results indicate is unclear or improper. 1-2 marks No understanding of what the results indicate and no connection between results and the question. 0 marks The maximum points awarded for Assignment 3 is 20 marks and will be prorated out of 5% to arrive at your final mark. ...
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School: UT Austin


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