Suppose a firm has had the following historic sales figures.Year:20162017201820192020Sales $2,430,000 $3,650,000 $4,300,000 $5,010,000 $5,660,000What would be the forecast for next year's sales using regression to estimate a trend?Next year's sales

The question is about forecasting.Given :To find :Forecast for next year using regression with…

Answered: Suppose a firm has had the following…

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section4.3: Fitting Linear Models To Data

Problem 23SE: The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the...

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Life Expectancy The following table shows the average life expectancy, in years, of a child born in the given year42 Life expectancy 2005 77.6 2007 78.1 2009 78.5 2011 78.7 2013 78.8 a. Find the equation of the regression line, and explain the meaning of its slope. b. Plot the data points and the regression line. c. Explain in practical terms the meaning of the slope of the regression line. d. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 2019? e. Based on the trend of the regression line, what do you predict as the life expectancy of a child born in 1580?2300
The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?
Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 2020 Sales $2,570,000 $3,750,000 $4,380,000 $5,010,000 $5,520,000 What would be the forecast for next year’s sales using regression to estimate a trend?
mex PLC has gathered following information on the sales of face mask from April 2020 to september 2020. Month Sales ($) April 17,000 May 18,000 June 19,500 July 22,000 August 21,000 September 23,000 You are required to3; a. Using linear trend equation forecast the sales of face masks for October 2020.
Edit Amex PLC has gathered following information on the sales of face mask from April 2020 to September 2020. Month Sales ($) April 17,000 May 18,000 June 19,500 July 22,000 August 21,000 September 23,000 You are required to3; a. Using linear trend equation forecast the sales of face masks for October 2020.
A regression line can be used to show trends in data. Group of answer choices False True
The following table shows the percentage of people 25 years and older who have completed four or more years of college. Use the line of best fit (regression line) to predict when (what year) the percentage will reach 49%. Round the slope and y-intercept to four decimal places, if necessary. Year 1985 1990 1995 2000 2005 2010 Percentage 19.4 21.3 23.0 25.6 27.6 29.9
Consider the following data on salaries and experience. Persons 2,4,6,8,and 9 have MBA degrees. All others only have undergraduate degrees. Calculate the regression of Salary on Experience within a model that controls for whether a person has an MBA or not. Print the data set that allows you to do this regression. Sketch the graph the estimated regression that clearly indicates the impact of a MBA degree on Salary. What is the market value of the MBA degree? Person Salary Experience 1 $130,468 10 Years 2 62,250 1 3 50,000 2.3 4 140,000 9 5 110,000 8 6 80,050 2.8 7 95,772 7 8 110,000 6 9 87,752 4.2 10 79,290 5
Dehoratius Electronics Inc. wants to understand what will be the demand for their product Ezer for the ninth year .The demand for Ezer over the past 7 years is shown in the following table. The firm wants to forecast next year’s demand by fitting a straight-line trend of these data. Year 1 2 3 4 5 6 7 Ezer demand 79 84 85 95 110 147 127
The following data are the last three years of quarterly sales ($ thousands) for AmeriWeld. They are looking to forecast their sales for the upcoming year, 2021. Quarter 2018 Q1 Sales $ thousands (y) 15 1 Q2 2 14 Q3 3. 13 Q4 37 2019 Q1 Q2 Q3 Q4 2020 Q1 54 6 34 7 67 73 77 8 9 10 Q2 Q3 Q4 62 11 94 12 101 Click here for the Excel Data File. Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. Determine the regression equation. Regression equation: ŷ = (Round to 2 decimal places.) b. Determine the specific index for each quarter. 2 decimal places.) (Indexes should be in decimal form (e.g. 1.36 not 136). Rounded to Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for the next four quarters? (Values in $thousands. Round to 2 decimal places.) Quarter Forecasted Sales 2021-1 2021-2 2021-3 2021-3
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4. Compare the high and the low common stock prices since 2007 in a graph of your choice for "XXX" Corporation. Write a brief interpretation of the main features of the data portrayed in the graph. The high and the low common stock prices for the "XXX" Corporation since 1983 are: Year High Low 2007 40.85 30.90 2008 40.85 30.00 2009 40.85 29.25 2010 48.00 34.00 2011 64.75 32.00 Year High Low 2013 72.00 45.75 2014 81.65 63.25 2015 80.15 63.50 2016 75.35 60.25 2017 98.35 67.75 2018 99.00 70.00 2012 51.75 39.65

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Suppose a firm has had the following historic sales figures. Year: 2016 2017 2018 2019 2020 Sales $2,430,000 $3,650,000 $4,300,000 $5,010,000 $5,660,000 What would be the forecast for next year's sales using regression to estimate a trend? Next year's sales