A department store sells a broad range of household products and offers a low-cost breakfast in its store restaurants to attract customers into the stores early in the day. A manager of one of these stores is making a loss on the breakfasts. He needs to know whether the breakfast attracts customers to shop for the more profitable household items, and he decides to calculate the correlation between the number number buying household items. Analyze the following sample data that are collected during the course of one week. Complete parts (a) through (e) below. customers taking breakfast and the a) What is the correlation coefficient over the whole week? The correlation coefficient is (Round to four decimal places as needed) b) What is the correlation coefficient over the weekdays only? The correlation coefficient is. (Round to four decimal places as needed.) c) What is the correlation coefficient on the weekend? The correlation coefficient isO (Round to four decimal places as needed.) d) How realistic are the above correlation coefficients for analyzing whether the number of customers buying household items i related to the number taking breakfast? Make an assessment about the correlation in part (a). Choose the correct answer below. O A. The correlation in (a) is misleading since there is a perfect straight line between all data points. O B. The correlation in (a) is misleading since there are two clusters of data points instead of an overall trend. OC. The correlation in (a) is misleading since there is a single outlier in the data. OD. The correlation in (a) is statistically sound since both variables are quantitative and the relationship is linear. Make an assessment about the correlation in part (b). Choose the correct answer below. OA. The correlation in (b) is statistically sound since both variables are quantitative and the relationship is linear. OB. The correlation in (b) is misleading since the relationship between the data points is not linear. OC. The correlation in (b) is misleading since there is a single outlier in the data. O D. The correlation in (b) is misleading since the variables are not quantitative. Make an assessment about the correlation in part (c). Choose the correct answer below. OA. The correlation in (c) is misleading since there is a single outlier in the data OB. The correlation in (c) is statistically sound since both variables are quantitative and the relationship is linear. OC. The correlation in (c) is misleading since the relationship between the data points is not linear. O D. The correlation in (c) is misleading since there is always a perfect straight line between two data points. )f the manager wants to extend this analysis with data covering several weeks, which corelations would he calculate? OA. The manager should combine weekends and weekdays and test them together. The manager should only calculate the correlation coefficients if the scatterplots of that data show a linear trend. OB. The manager should combine weekends and weekdays and test them together. The manager should only calculate the correlation coefficients if the scatterplots of that data show a non-linear trend. OC. The manager should separate data for weekends and weekdays and test them separately. The manager should only calculate the correlation coefficients if the scatterplots of that data show a linear trend. data fer uunekends and unelda cheuld en keledes the semelaties se frdents se seatteselets of hat data