A researcher was looking into neighborhoods and their food access, she decided to collect information from one particular brand of grocery stores (HEB) in Texas. For each of the 37 neighborhoods, she used census data to find the average income and then visited the HEB location in that neighborhood and counted the number of organic items available. The resulting linear regression output is below: Number of Organic Items - -14.718822 + 0.95909034 Average Household Income ($1000) R-squared = 0.73344616 What is the correlation coefficient for these two variables? Round your answer to 4 decimal places. Suppose you worked for Intuit (a company that makes accounting software like Quickbooks andTurbotax) as a data analyst. Your boss has asked you to create a graphic to show the distribution of whether or not the inventory tracking feature is being used by customers. Which graphs below would be appropriate for this request? Select all that apply. Scatterplot Bar chart Histogram Pie chart