The management of a chain electronic store would like to develop a model for pre

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The management of a chain electronic store would like to develop a model for predicting the weekly sales (in thousands of dollars) for individual stores based on the number of customers who made purchases. A random sample of the 12 stores yields the following results: ----------------------- Customers: 907, 926, 713, 741, 780, 898, 510, 529, 460, 872, 650, 603 ---- Sales (thousands of $): 11.20 , 11.05 , 8.21 , 9.21, 9.42 , 10.08 , 6.73 , 7.02 , 6.12 , 9.52 , 7.53 , 7.25 1. generate the scatter plot 2. what are the values of the estimated intercept and slope? Interpret the intercept and slope. 3. what is the value of the coefficient of determination, square of r? interpret of the coefficient of determination 4. what is the value of the coefficient of correlation? interpret of the coefficient of correlation 5. what is the least-squares regression line equation? 6. Predict the weekly sales if 550 customers make purchases

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