The following data represent the number of flash drives sold per day at a local computer shop and their prices. Price Units Sold 34 3 36 4 32 6 35 5 30 9 38 2 40 1 a. Develop the estimated regression equation that could be used to predict the quantity sold given the price. Interpret the slope. b. Did the estimated regression equation provide a good fit? Explain. c. Compute the sample correlation coefficient between the price and the number of flash drives sold. Use a= 0.01 to test the relationship between price and units sold.

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