Assignment ContentCompetencyAnalyze and interpret perceptual elements of visual media communication to identify effective visual messages.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioYou have been hired by a large law enforcement agency to analyze the images used on advertising billboards in both urban and suburban regions. The billboards visually display a new campaign message to improve neighborhood safety.During your analysis, you find that the images used on billboards in the urban areas are exactly the same as the images used in the suburban areas. Both images show parents happily talking with law enforcement officers while children run over green lawns having a fun balloon fight. You decide that these images are not sending proper perceptual messages. You decide to create a visual analysis video for the law enforcement agency to share with the administration.For the video visual analysis, you realize you will need to find two new images that are quite different from one another. One image will be used on the urban billboard, and the other image will be used on the suburban billboard. In your video presentation, you will compare and contrast how each image utilizes the following:Compare and contrast the visual elements of cultural familiarity. Explain why it is important to use culturally familiar visuals that are quite different in the urban and suburban billboard images. Include specific visuals in your visual analysis.Identify specific visual examples of the following cognitive elements: memories, experiences, and expectation. Compare and contrast how urban and suburban viewers may be affected differently by those specific cognitive visual elements.Explain the difference between urban and suburban viewers' emotionally engagement with each of the billboard images.Identify visual semiotic codes in both images: metonymic, analogical, displaced, and condensed. Discuss the importance of using these codes. Include specific visuals in each part of your visual analysis.As you outline your ideas for the video, you decide to record your verbal analysis while analyzing the two visuals in less than seven minutes

Using the "Baseball 2010" Excel Dataset located in the "Files" Section of the course (Left-hand Side Menu Bar). The Final Research Project for the course, and all supporting assignments, will be executed using the "Baseball 2010" dataset. Assessment Rubric for this paper is available under Course Information, Assignments and Grading link.Please make sure that your paper conforms to APA style requirements.Purpose Statement and Model1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:“The dependent variable _______ is determined by variables ________, ________, ________, and ________.”2) In the second paragraph, identify the primary independent variable and defend why it is important.“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance: Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3 For instance, a typical model would be written:Price_of_Home = Square_Footage + Number_Bedrooms + Lot_SizeWherePrice_of_Home: brief definition of dependent variableSquare_Footage: brief definition of first independent variableNumber_Bedrooms: brief definition of second independent variableLot_Size: brief definition of third independent variable[Note: student of course replaces these variable names with his/her own variable names.]Definition of Variables4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.In each paragraph, the following should be addressed:How is the variable defined in the data source?Which unit of measurement is used?For the independent variables: why does the variable determine Y?What sign is expected for the independent variable's coefficient, positive or negative? Why?Data Description5) In one paragraph, describe the data and identify the data sources.From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)Which year or years were the data collected?Are there any data limitations?Presentation and Interpretation of Results6) Write the regression (prediction) equation:Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_37) Identify and interpret the adjusted R2 (one paragraph):Define “adjusted R2.”What does the value of the adjusted R2 reveal about the model?If the adjusted R2 is low, how has the choice of independent variables created this result?8) Identify and interpret the F test (one paragraph):Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?Interpret the implications of these findings for the model.9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):Are the signs of the coefficients as expected? If not, why not?For each of the coefficients, interpret the numerical value.Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?Interpret the implications of these findings for the variable.Identify the variable with the greatest significance.10) Analyze multicollinearity of the independent variables (one paragraph):Generate the correlation matrix.Define multicollinearity.Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.State the implications of multicollinearity (if found) for the model.11) Other (not required):If any additional techniques for improving results are employed, discuss these at the end of the paper.Works Cited Page12) Use the proper format to list the works cited under two headings:Research: two sourcesData: a separate citation for each of the variables used in the paper.Refer to Term Research Paper Resource