We will concentrate on variables 1825, which reflect how important each of eight different attributes is in the respondents selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager fine-tune his or her shopping area to make it a more attractive place to shop.

18 Easy to return/exchange goods 19 High quality of goods 20 Low prices 21 Good variety of sizes/styles 22 Sales staff helpful/friendly 23 Convenient shopping hours 24 Clean stores and surroundings 25 A lot of bargain sales

1. Perform the following operations for variables 1825:
   1. Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the 5-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.
   2. Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, please list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.
2. Based on the results for question 1, which attributes seem to be the most important and the least important in respondents choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?
3. Determine the correlation coefficient between variable 19 and variables 2125. Please provide an explanation of the relationships. Show your calculations for each correlation coefficient within the spreadsheet.