Need answers and very brief explanation for 5 questions below please. Thanks for your time.

Case Study: Market Segmentation, Pets and Pet Food Market

You are the marketing manager for Acme Dog Nutrition, an organic, gluten-free food for active dogs.You believe that not all dog owners are the same. You seek to identify groups among dog owners, with the objective of finding the group(s) who will appreciate the extra care and quality found in every kernel of Acme Dog Nutrition. To that end, you conduct a market survey using a 7-point Likert scale, asking each respondent to state their agreement from 1 (strongly disagree) to 4 (neutral) to 7 (strongly agree). The statements are:

• S1: It is important for me to buy dog food that prevents canine cavities
• S2: I like dog food that gives my dog a shiny coat
• S3: Dog food should strengthen gums
• S4: Dog food should make my dog's breath fresher
• S5: It is not a priority for me that dog food prevent tooth decay or cavitiies (reverse coded)
• S6: When I buy dog food, I look for food that gives my dog shiny teeth

You also collect age and gender data for use in later research. The dataset, shown below, includes one row for the data from each respondent. The first column shows the respondent number. The next six columns show the responses to the market survey for statements S1 - S6. The next three columns show the respondent's age as an integer, the age category (twenties, thirties, forties, etc.), and gender (male or female). Note that the dataset consists of only 12 observations. Normally, we would record more observations, in keeping with marketing research sample size calculations, and certainly gather at least 20 observations. We reduced the number of observations in this case to make the solution process easier.

One of the first steps to solving the problem is to read in the dataset with dog food survey information. Call the dataset "dogdataset", include a header at the top, and assign a dedicated directory for the R data in the case. Which of the following selections below best represents the correct R statement to read in the data? O dogdataset