# 10090ELine 1 (20 85)-Line 2-(35:80)80Line 3 (50 75)70Line-4-(60-60):60Line 5-(70-50)5040Line 6 (90 32).3020101090 10060% of waiting customers804030-1002070-10The percent of waiting customers is the -coordinate, while the percent of return customers is the coordinate. So, the50TO% of return-austomers- The percent of waiting customers is the -coordinate, while the percent of return customers is the ycoordinate. So, thetable of values corresponds to the points(20,85), (35,80), (50,75), (60, 60), (70, 50), (90,32)FEEDBACKContent attributionUnderstand the relationship between scatter plots and tables and determine patternsQuestionreturn customers if 80% of customers wait more thanUsing the linear relationship graphed above, estimate the percent of10 minutes in lineProvide your answer below

Question

Using the linear relationship graphed below; estimate the percent of return customers if 80% of customers wait more than 10 minutes in line.

Question for answering above: A grocery store manager explored the relationship between the percent of customers that wait more than 10 minutes in line and the percent of return customers at the store. The manager collects information from 6 checkout lines, shown in the table below.

Use the graph below to plot the points and develop a linear relationship between the percent of waiting customers and the percent of return customers.

 Line % of Waiting Customers % of Return Customers 1 20 85 2 35 80 3 50 75 4 60 60 5 70 50 6 90 32

Step 1

The percent of return customers if 80% of customers wait more than 10 minutes in line is calculated below:

From the given information, the percent of waiting customers is the x-coordinate; the percent of return customers is the y-coordinate.

The regression analysis is conducted here by using MINITAB. The software procedure is given below:

• Choose Stat > Regression > Regression.
• In Response, enter the column containing the response as % of return customers.
• In Predictors, enter the columns containing the predictor as % of waiting customers.
• Click OK.

The output using MINITAB is as follows:

Step 2

From the output, the least squares regression equation is y = 106.393 – 0.78879 (% of waiting customers).

The percent of return customers if 80...

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