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A. $175,000 B. $153,550 C. $187,234 D. $234,154 E. $171,412

Linear Regression Problem : A maker of golf shirts has been tracking the relationship between sales and advertising dollars. Use linear regression to find out what sales might be if the company invested $58,000 in advertising next year. ( Y=a + bX ). A. $175,000 B. $153,550 C. $187,234

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A. $175,000 B. $153,550 C. $187,234 D. $234,154 E. $171,412

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  1. Linear Regression Problem: A maker of golf shirts has been tracking the relationship between sales and advertising dollars. Use linear regression to find out what sales might be if the company invested $58,000 in advertising next year. (Y=a + bX ) A. $175,000 B. $153,550 C. $187,234 D. $234,154 E. $171,412

  2. Solution b =30282-4(51.25)(147.25) 10533-4((51.25)^2) b = 95.75 = 3.579 26.75 a = 147.25-3.579(51.25) a = -36.17 Y = -36.17 + 3.579x

  3. Accuracy & Tracking Signal Problem: A company is comparing the accuracy of two forecasting methods. Forecasts using both methods are shown below along with the actual values for January through May. The company also uses a tracking signal with ±4 limits to decide when a forecast should be reviewed. Which forecasting method is best?

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