Objectives To successfully complete this assignment, you will be expected to: Pr

Objectives
To successfully complete this assignment, you will be expected to:
Produce a question that can be answered with a correlation analysis and accurately explain why the analysis is appropriate for the data and question to be answered.
For the identified question, perform and report one correlation analysis to test relationships using APA-compliant format.
Produce and explain an effective chart or graph to display information about the correlation analysis.
Produce a question that can be answered with a regression or multiple regression analysis and accurately explain why the analysis is appropriate for the data and question to be answered.
For the identified question, perform and report one regression or multiple regression analysis to test relationships using APA-compliant format.
Instructions
Using the Food Affordability Dataset [XLSX], develop one program question that can be answered with a correlation analysis. Then, perform one correlation analysis (using two continuous data points) to test relationships. Be sure to include the JASP/Excel output and report the findings using APA-compliant format. Additionally, you should produce an effective chart or graph to display information about the correlation analysis. This is likely to be in the form of a scatterplot, since correlation requires two continuous variables. To achieve maximum credit on this criterion, you must both accurately identify, perform, and thoroughly report the program question and statistical findings using APA-compliant format.
Next, develop one program question that can be answered with a regression or multiple regression analysis. Then, perform one regression or multiple regression analysis. Be sure to include the JASP/Excel output and report the findings of your regression or multiple regression analysis using APA-compliant format. To achieve maximum credit on this criterion, you must both accurately identify, perform, and thoroughly report the program question and statistical regression or multiple regression findings using APA-compliant format.
Once you have gathered this information, submit a final Word document that includes a header for each required component of this assignment. Use these provided headers (in APA-compliant format) for each section:
Correlation Analysis.
Program Question.
Explanation of Appropriateness.
Statistical Analysis.
Interpretation and Report.
Chart or Graph.
Regression or Multiple Regression Analysis.
Program Question.
Explanation of Appropriateness.
Statistical Analysis.
Interpretation and Report.
Use Academic WriterLinks to an external site. for guidance in citing sources and formatting your paper in proper APA style. See the Writing CenterLinks to an external site. for more APA resources specific to your degree level.
Competencies Measured
By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:
Competency 1: Select appropriate data types and analysis strategies to meet program evaluation goals.
Using the provided dataset, produce a question that can be answered with a correlation analysis and accurately explain why a correlation analysis is appropriate for the data and question to be answered.
Competency 2: Explain the role of data and data analytics in human services, from data management to data application.
For the identified question, perform and report one correlation analysis to test relationships using APA-compliant format.
Competency 3: Analyze and interpret data for program evaluation.
Using the provided dataset, produce a question that can be answered with a regression or multiple regression analysis and accurately explains why a regression or multiple regression analysis is appropriate for the data and question to be answered.
Competency 6: Effectively communicate program evaluation results in narrative format.
Produce and explain an effective chart or graph to display information about the correlation analysis.
For the identified question, accurately perform and report one regression or multiple regression analysis to create a predictive equation using APA-compliant format.
View RubricRelationships and Predictive AnalyticsRelationships and Predictive AnalyticsCriteriaRatingsPtsUsing the provided dataset, produce a question that can be answered with a correlation analysis and accurately explain why a correlation analysis is appropriate for the data and question to be answered.40 to >34 ptsDISTINGUISHEDAccurately produces a question that can be answered with a correlation analysis and thoroughly explains why a correlation analysis is appropriate for the data and question to be answered. 34 to >28 ptsPROFICIENTProduces a question that can be answered with a correlation analysis and sufficiently explains why a correlation analysis is appropriate for the data and question to be answered. 28 to >0 ptsBASICProduces a question that cannot be answered with a correlation analysis AND/OR fails to adequately explain why a correlation analysis is appropriate for the data and question to be answered. 0 ptsNON_PERFORMANCEDoes not produce a question that can be answered with a correlation analysis. / 40 ptsFor the identified question, perform and report one correlation analysis to test relationships using APA-compliant format.40 to >34 ptsDISTINGUISHEDAccurately performs and reports a correlation analysis using APA-compliant format. 34 to >28 ptsPROFICIENTPerforms and reports a correlation analysis using APA-compliant format. 28 to >0 ptsBASICPerforms a correlation analysis but does not report the analysis using APA-compliant format. 0 ptsNON_PERFORMANCEDoes not perform and report a correlation analysis. / 40 ptsProduce and explain an effective chart or graph to display information about the correlation analysis.40 to >34 ptsDISTINGUISHEDAccurately displays descriptive information about the dataset.  34 to >28 ptsPROFICIENTIncludes and briefly explains an effective chart or graph to display descriptive information about the dataset. 28 to >0 ptsBASICIncludes a chart or graph that does not effectively display descriptive information about the dataset. 0 ptsNON_PERFORMANCEDoes not include a chart or graph. / 40 ptsUsing the provided dataset, produce a question that can be answered with a regression or multiple regression analysis and accurately explains why a regression or multiple regression analysis is appropriate for the data and question to be answered.40 to >34 ptsDISTINGUISHEDAccurately produces a question that can be answered with a regression or multiple regression analysis and thoroughly explains why a regression or multiple regression analysis is appropriate for the data and question to be answered. 34 to >28 ptsPROFICIENTProduces a question that can be answered with a regression or multiple regression analysis and sufficiently explains why a regression or multiple regression analysis is appropriate for the data and question to be answered. 28 to >0 ptsBASICProduces a question that cannot be answered with a regression or multiple regression analysis AND/OR fails to adequately explain why a regression or multiple regression analysis is appropriate for the data and question to be answered. 0 ptsNON_PERFORMANCEDoes not produce a question that can be answered with a regression or multiple regression analysis. / 40 ptsFor the identified question, accurately perform and report one regression or multiple regression analysis to create a predictive equation using APA-compliant format.40 to >34 ptsDISTINGUISHEDAccurately performs and reports a regression or multiple regression analysis using APA-compliant format. 34 to >28 ptsPROFICIENTPerforms and reports a regression or multiple regression analysis using APA-compliant format. 28 to >0 ptsBASICPerforms a regression or multiple regression analysis but does not report the analysis using APA-compliant format. 0 ptsNON_PERFORMANCEDoes not perform and report a regression or multiple regression analysis. / 40 pts

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