You are the owner of Fast Break, a popular local place that sells drinks, snacks, and sandwiches. For inventory manageme

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You are the owner of Fast Break, a popular local place that sells drinks, snacks, and sandwiches. For inventory management purposes, you are examining how the weather affects the amount of hot chocolate sold in a day. You are going to gather a random sample of 7 days showing that day's high temperature (denoted by X. in "C) and the amount of hot chocolate cold that day (denoted by y, in liters). You will also note the product any of the temperature and amount of hot chocolate sold for each day (These products are written in the row labeled 'y'). (w) Click on "Take Sample" to see the results for your random sample. High temperature, (in "C) Amount of hot Take Sample chocolate sold, (in liters) ху Send data to store

Based on the data from your sample, enter the indicated values in the column on the left below. Round decimal values to three decimal places. When you are done, select "Compute" (in the table below, is the sample size and the symbol Exy means the sum of the values 13.) X ? Sample correlation coefficient : 9:0 Slope() 30 Ex: 0 intercepto Compute

(b) Write the equation of the least squares regression line for your data. Then on the scatter plot for your data, graph this regression equation Regression equation = 0 2 x 5 ? Amount of hot chocolate sold in liters) High temperature (inc

(c) Use your regression equation to predict the amount of hot chocolate sold on a day with a high temperature of 11 "C. Round your answer to the nearest whole number Predicted amount of hot chocolate sold: liters Х ?