Question: AB E 1 Month 56 > N. Sales (Millic Advertisement (Million $) 40l 66 7.25 71.5 90 13.5 100 13.25 84 22.25 106 18.5 127

AB E 1 Month 56 > N. Sales (Millic AdvertisementAB E 1 Month 56 > N. Sales (Millic Advertisement

AB E 1 Month 56 > N. Sales (Millic Advertisement (Million $) 40l 66 7.25 71.5 90 13.5 100 13.25 84 22.25 106 18.5 127 23.25 198.5 30 10 192. 5 28.25 236| 36.75 198.5 31.5 238 34.5 349.5 36.25 272.5 40 418.5 371.5 45 361 49.25 367.5 50.75 419 55.75 528.5 61.75 465 60.5 542.5 58.5 24 545 63.5 25 60967,75 49 s Linear Regression: The amount of sales for company A is constantly increasing over time. The monthly value of sales for 25 past months are known. In addition, the marketing department found that there is a high correlation between the value of sales and advertisement spendings. Knowing that the time and advertisement impact sales values, marketing managers want to forecast the sales value for the 26th month. Use simple linear regression to find the linear equation for the sale and time. Use simple linear regression to find the linear equation for the sale and advertisement. What is the 26th-month sale value using the trend in time? What is the 26th-month sale value if the company is expecting to spend $70m on advertising for this period? Submit your answers in an excel file with your name on the file. Instructions: Step 1: Run a simple linear regression for Sale (dependent variable) and time (independent variable). Step 2: Run a simple linear regression for Sale (dependent variable) and Advertisement (independent variable). Step 3: Using the regression table from step 1, find the coefficients and write the regression equation for Sale and Time. Simply plug in 26 for the time in the equation and find the sale's value. Step 4: Using the regression table from step 2, find the coefficients and write the regression equation for Sale and Advertisement. Simply plug in the advertising expenditure of $70m and find the value for sales

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