5. In RStudio, read in the data using the following code: bvg = read.csv("newbev20211205.csv", header = T) 6. Run a check to see that the data file has loaded correctly using the following code: dim(bvg) This should provide the following output: > dim(bvg) [1] 50 9 Data description: this file contains data on a few variables for some non-alcoholic beverages. For each beverage, it contains: an identification number the parent brand name how many calories are in that beverage the caffeine content in that beverage whether the beverage contains corn syrup (Y) or no (N) the price range for this beverage (from 1=Low, to 4=Very High) the actual price for the beverage a health score assigned to the beverage by a third party food review agency (100 point scale) the average customer review score for the beverage (on a 5 point scale) Remember to provide your code and output along with your answers for each question#Q1-1 Which brand occurs most frequently and least frequently in this data? Code: Output: Answer: #Q1-2 What is the inter-quartile range for the calories observed in this data? Code: Output: Answer: #Q1-3 Across all beverages, is it true that the mean caffeine is higher than the median caffeine? Code: Output: Answer: #Q1-4 For each brand, compute the proportion of its beverages that contain corn syrup. Which brand offers the most proportion of its beverages with corn syrup in it? Code: Output: Answer: #Q1-5 Which brand offers the maximum number of beverages in the Very High price range? Code: Output: Answer: #Q1-6 Which brand's beverages have the highest variance in prices? Code: Output: Answer: #Q1-7 What is the average calorie content of Pop's beverages that do not contain corn syrup? Code: Output: Answer: #Q2-1 Is there a significant difference between the average calories for beverages that contain corn syrup vs those that do not contain corn syrup? To answer, provide the following details: What approach you chose and why: Your hypotheses: Your analysis(code) and results: Your final conclusion regarding the question asked: #Q2-2 Does the use of corn syrup vary significantly across brands? To answer, provide the following details: What approach you chose and why: Your hypotheses: Your analysis(code) and results: Your final conclusion regarding the question asked: #Q2-3 Among the drinks offered on the market, is there any relationship between the amount of calories in a drink and its caffeine content? To answer, provide the following details: What approach you chose and why: Your hypotheses: Your analysis(code) and results: Your final conclusion regarding the question asked: #Q2-4 Management is interested in predicting the number of calories in a beverage based on its caffeine content. Build such a model and use it to predict how many calories are in a beverage with a caffeine content of 475. To answer, provide the following details: What approach you chose and why: Your hypotheses: Your analysis(code) and results: Your final conclusion regarding the question asked: #Q2-5 Management is interested in understanding what drives average customer rating. You are asked to build and analyze a model to understand the effects of calories, caffeine, corn syrup and the actual price on the average customer rating. Based on your analysis, what conclusions can you provide to management regarding the drivers of customer ratings? To answer, provide the following details: What approach you chose and why: Your hypotheses: Your analysis(code) and results: Your final conclusion regarding the question asked:
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