This assignment provides practice in decomposing the seasonal time series data and then subtract that effect from the data and then to show how to address issues of correlations between successive values of the time series. Before beginning this assignment, review the learning resources for this module, especially focus on Decomposing Time Series, Forecasting using Exponential Smoothing and ARIMA Models sections of A Little of R for Time Series by Avril Coghlan. Complete the following steps and write a report to record your work, results and analysis. You may use the attached data sets (average price data and NY benchmarked employment data) or one of time series data from data( ). Please note that some time series are more amenable to time series analysis than others.It is important that you understand data structure and be able to appropriately transform/clean raw data prior to analysis. "Average price data.xlsx" is in the long format. The data series are stacked on top of each other. That is how the data is provided the Bureau of Labor Statistics. The names of variables are provided in the "series" worksheet. You need to pick one series name and use it to filter or subset the data prior to analysis. Some series are better than others. You may want to use only the portions of the series after 2009, since the Great Recession was an one-time event that cannot be modeled.A. Decompose seasonal time series data and subtract that effect from the data: Identify an appropriate time series data set, this can be a data set in R or a data set you find. Then, use R to display decompose the seasonal time series and seasonally adjust to subtract the seasonal components from the time series. In your report, provide insights to the results. B. Address issues of correlations between successive values of the time series: Identify an appropriate data set, this can be this can be a data set in R or a data set you find. Then use R time series functions to address autocorrelation issues in data sets. In many cases you can make a better predictive model by taking correlations in the data into account. Address autocorrelation issues (irregular components of the time series) using a technique called ARIMA (Autoregressive Integrated Moving Average) models for irregular components of time series. In your report, provide insights to the results. Report Your assignment/project should have a good cover/title page, introduction of what the goals of the project and the methods you use. It also should follow APA format with at least 1000 words (excluding title page and references page) and references page. In the body of your project you should incorporate the R codes and R outputs with interpretation of your results. Finally, you need to make sense of your results to make good points with proper conclusions, to show your understanding of the course material and its application to the dataset. Graphs, figures, charts, tables are very useful to increase visual effects to impress your readers. You also should do your best to give insight and understanding to the project with a good conclusion. Please use subtitles to make your assignment more reader friendly as well.

Hi i have an assignment to submit and I am uploading the template needed to complete the assignment. The template information will be replaced with the answers you supply. The document is called DAA Template. I am pasting the information for Assignment 8 in the requirements area. SPSS is needed to open the grades file and to complete this assignment. I have attached the attachment that includes all resources needed. Thank you so muchAssignment 8[u08a1] Unit 8 Assignment 1t TestsSee the Resources area for links to resources that you will use for this assignment:You will complete this assignment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assignment.Refer to the IBM SPSS Step-By-Step Guide: t Tests for additional information on using SPSS for this assignment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous assignments, your submission should be in narrative format with supporting statistical output (table and graphs) integrated into the narrative in the appropriate places (not all at the end of the document).You will analyze the following variables in the grades.sav data set:gendergpaStep 1: Write Section 1 of the DAA.Provide the context of the grades.sav data set.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement.Specify the sample size of the data set.Step 2: Write Section 2 of the DAA.Analyze the assumptions of the t test.Paste the SPSS histogram output for gpa and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for gpa and interpret them.Paste SPSS output for the Shapiro-Wilk test of gpa and interpret it.Report the results of the Levene test and interpret it.Summarize whether or not the assumptions of the t test are met.Step 3: Write Section 3 of the DAA.Specify a research question related to gender and gpa.Articulate the null hypothesis and alternative hypothesis.Specify the alpha level.Step 4: Write Section 4 of the DAA.Paste the SPSS output of the t test.Report the results of the SPSS output using proper APA guidelines (refer to the Unit 8 Introduction and the "Results" example from the Warner text in Chapter 5). Include the following:t.Degrees of freedom.p value.Effect size.Interpretation of effect size.Means and standard deviations for each group.Mean difference.95% confidence interval of the difference of sample means.Interpret the results against the null hypothesis.Step 5: Write Section 5 of the DAA.Discuss the implications of this t test as it relates to the research question.Conclude with an analysis of the strengths and limitations of the t test.Submit your DAA Template as an attached Word document in the assignment area.Resourcest Tests Scoring Guide.IBM SPSS Step-by-Step Guide: t Tests [DOC].DAA Template [DOCX].APA Style and Format.SPSS Data Analysis Report Guidelines.Copy/Export Output Instructions.

The directions are attach and in bold/red on attached form. The answer sheet is also attached. Work must be shown has stated on directions/test questions. Thanks!!!