SNHU MAT 136 Correlation & Regression on Data Excel

SNHU MAT 136 Correlation & Regression on Data Excel ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON SNHU MAT 136 Correlation & Regression on Data Excel Instructions Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel’s Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results. Must complete the Excel requirements and submit along with the one page Word document. Formatting must meet the APA standards and requires 1 to 2 references. SNHU MAT 136 Correlation & Regression on Data Excel qso510_data_set_2__1_.xlsx week_4_grading_ruix Week 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 #Flashdrives 6 7 6 5 7 5 6 6 8 9 9 7 5 6 8 8 9 7 6 8 5 7 6 8 10 9 7 8 7 6 Number of Defective Flashdrives for 30 Weeks Flashdrives for 30 Weeks QSO 510 Data Set Homework Guidelines and Rubric Two data sets are used during this course for three homework assignments: Module Two, Descriptive Statistics: Data set 1 presents a sample of annual salaries for recently hired plant operators at a chemical manufacturing company. Use Excel’s ToolPak (or any statistical package that you are comfortable with) to compute descriptive statistics for the data. Submit your statistical output from Excel, which should include values for the mean, median, mode, sample variance, and sample standard deviation. Module Four, Correlation and Regression: Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel’s Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression equation for predicting the number of defective flash drives over time (in weeks), the correlation coefficient r, and the coefficient of determination R2. Submit your statistical output from Excel, which should include values for the slope, y-intercept, regression equation, r, and R2. Module Six, Hypothesis Testing: Data set 2 presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. The company’s operations manager believes that the number of defects produced by the process is less than seven defective flash drives per week. Use this online calculator (or any statistical package that you are comfortable with) to construct a hypothesis test to verify the operations manager’s claim. Your hypothesis test should include null and alternative hypotheses, a t test statistic value, a p-value, a decision, and a conclusion. Submit a Word file that includes the hypothesis test. Specifically, the following critical elements must be addressed: I. Methodology II. Analysis Guidelines for Submission: For the Modules Two and Four assignments, submit both a 1-page Word document and an Excel spreadsheet. For the Module 6 assignment, submit only a 1-page Word document. Rubric Critical Elements Methodology Analysis Articulation of Response Exemplary (100%) Meets “Proficient” criteria, and articulation is comprehensive and astute methodology Meets “Proficient” and the quality of the statistical analysis is above minimum quality standards for competent Submission is free of errors related to citations, grammar, spelling, syntax, and organization and is presented in a professional and easy to read format Proficient (90%) Clearly and accurately articulates methodology Needs Improvement (70%) Articulation of methodology is unclear and/or inaccurate Not Evident (0%) Does not articulate methodology Value 40 Represents competency with respect to the statistical analysis Statistical analysis is evident, but does not meet standards Statistical analysis is not evident 50 Submission has no major errors related to citations, grammar, spelling, syntax, or organization Submission has major errors related to citations, grammar, spelling, syntax, or organization that negatively impact readability and articulation of main ideas Submission has critical errors related to citations, grammar, spelling, syntax, or organization that prevent understanding of ideas 10 Earned Total 100% … SNHU MAT 136 Correlation & Regression on Data Excel Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

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