You’ve been told by Chief Marketing Officer that recent marketing campaigns have not been as effective as they were expected to be. You need to analyze the data in your data set to understand this problem. Use appropriate graphs and charts to present your analysis to the CMO. Some items to consider are below. Take some time to familiarize yourself with the data set before answering your questions.
Please provide a two part analysis for the case. (You’ll submit 2 different files, one for each part of the analysis). For the first part, you should submit your R code, R output, and your comments in one file. The second part requires a R Markdown report.
Data Analysis and Visualization Due Saturday by 11:59pm Points 4 Submitting a file upload Available until Nov 15 at 11:59pm Start Assignment Refer to the attached excel file and please read the questions and instructions given below in detail: datasets_marketing_campaign_SF.xlsx (https://mycourses.hult.edu/courses/3317646/files/214571638/download?download_frd=1) You’ve been told by Chief Marketing Officer that recent marketing campaigns have not been as effective as they were expected to be. You need to analyze the data in your data set to understand this problem. Use appropriate graphs and charts to present your analysis to the CMO. Some items to consider are below. Take some time to familiarize yourself with the data set before answering your questions. Please provide a two part analysis for the case. (You’ll submit 2 different files, one for each part of the analysis). For the first part, you should submit your R code, R output, and your comments in one file. The second part requires a R Markdown report. Part I: Statistical tests and Regression :: Design your analysis in R and present results using R code and R outputs. a.What features are significantly related to the number of web purchases? What would you suggest to CMO to improve web purchases? For full credit, provide: Regression output, Analysis of output in no more than 350 words, Suggestions to CMO in no more than 500 words. b. Does US fare significantly better than RoW (Rest of the World) in terms of total purchases. For full credit, provide: Regression output, Details of how you computed Rest of the World and Total purchases, in no more than 100 words, Your analysis of the results in no more than 100 words. c. Your supervisor insists that people who buy gold are more conservative and as such people who spent an above average amount on gold in last 2 years would have more in store purchases. Justify/refute the statement using appropriate statistical tests. Hint: Use your knowledge of dummy variables. For full credit, provide: Output of test(s), Your justification/rebuttal in no more than 100 words. https://mycourses.hult.edu/courses/3317646/files/214571638?wrap=1 https://mycourses.hult.edu/courses/3317646/files/214571638/download?download_frd=1 R and Analytics - Combined Assignment d. An interaction effect occurs when the effect of one variable on dependent variable depends on the value of some other explanatory variable. This effect is captured by creating an interaction variable, by multiplying the two relevant explanatory variables. Use your knowledge of interaction variables/effects to answer this part. Fish has Omega 3 fatty acids, good for brain, accordingly, do "Married PhD candidates" have a significant relation with amount spent on fish? What other factors are significantly related to amount spent on fish? For full credit, provide: Regression output, Your answer to the questions stated above. e. Do any other analysis you deem relevant to show to your CMO. For the purpose, propose a hypothesis and perfrom the appropriate tests. Be creative and insightful. Part II: Data Visualization: Build a R Markdown report that has visuals (created in ggplot or Plotly) and answers to the following questions. Please make sure that you include your visuals and comments in the Markdown report- do not submit anything in addition to the Markdown file. In this section, you’re going to use the data set Marketing Campaign to answer some business questions. Please note that the questions below are just a guiding point for your analysis. You don’t need to explicitly answer them all: Q1. What factors seem to drive web purchases? Q2. Is there a relation between web visits and web purchases? Q3. Is there a relation between geographical region and the success of a campaign? Q4. What is the average amount spent on fruits? Q5. Is the variation in the amount spent on fish and and meat affected by any qualitative factors? If yes, which ones? Q6. Fish has Omega 3 fatty acids, good for brain, accordingly, do people with advanced degrees purchase more fish than others? Q7. Teenagers are fussy on food, which foods do families with teenagers spend most on? Q8. Which marketing campaign is most successful? Q9. What kind of people seem to be compaling most? Q10. What is the average age of customers given in the sample? 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