Question

Would like to see it done in EXCEL Vehicle Sales: Consider the data below ( in...

Would like to see it done in EXCEL

Vehicle Sales: Consider the data below ( in thousands of units):  

year Quarter 1 Quarter 2 Quarter 3 Quarter 4

2016: 4072 4521 4452 4418

2017: 4010 4392 4399 4334

2018: 4092 4484 4277     4360

Obtain the seasonal factors and enter them into the appropriate yellow cells below:

Quarter 1 Quarter 2 Quarter 3 Quarter 4

Seasonal Factor

Using the columns Year and Total (Annual Sales) below, obtain the regression equation from the Excel's Scatter Diagram

Year Quarter 1 Quarter 2 Quarter 3 Quarter 4

2016: 4072 4521 4452 4418

2017: 4010 4392 4399 4334

2018: 4092 4484 4277 4360

(enter equation and paste graph in appropriate yellow areas below) ?? How to get equation from the graph?

Enter equation --->

Paste Scatter Diagram --------------------------------------------------------------------------------------------------------------->

Using the regression equation, what is your forecast for year 2018? (enter answer in yellow cell below)

Enter Forecast for Year 2019 -->

Using the seasonal factors obtained and your forecast for Year 2019, forecast Quarters 1 to 4 of Year 2019 (enter values in appropriate yellow cells below)

Year Quarter 1 Quarter 2 Quarter 3 Quarter 4

2016: 4072 4521 4452 4418

2017: 4010 4392 4399 4334

2018: 4092 4484 4277 4360

Quarter 1 Quarter 2 Quarter 3 Quarter 4

Forecast for 2019

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following time series data (Insert the data in an Excel file): Quarter Year 1...
Consider the following time series data (Insert the data in an Excel file): Quarter Year 1 Year 2 Year 3 1 8 9 12 2 5 6 9 3 7 8 10 4 8 11 11 2.1. Construct a time series plot. What type of pattern exists in the data? 2.2. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1=1 if quarter 1, 0 otherwise; Qtr2=1...
Year Quarter Sales ($000) 2015 1 $400 2015 2 2,000 2015 3 3,500 2015 4 260...
Year Quarter Sales ($000) 2015 1 $400 2015 2 2,000 2015 3 3,500 2015 4 260 2016 1 740 2016 2 2,720 2016 3 4,900 2016 4 520 2017 1 1,500 2017 2 3,100 2017 3 6,520 2017 4 960 2018 1 1,840 2018 2 4,040 2018 3 7,680 2018 4 1,640 2019 1 3,520 2019 2 5,640 2019 3 8,900 2019 4 3,620 Problem 2 House Depot’s quarterly sales of a lawn, landscaping, and gardening items – like lawnmowers,...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62 2 49 41 51 3 57 59 52 4 78 81 72 (a) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: x1 = 1 if quarter 1, 0 otherwise; x2 = 1 if quarter 2, 0 otherwise; x3 = 1 if quarter 3, 0 otherwise. = _____?______ (b) Compute the quarterly forecasts for...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62 2 48 40 50 3 59 61 54 4 78 81 72 (a) Construct a time series plot. What type of pattern exists in the data? a)The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. b)The time series plot shows a horizontal pattern with no seasonal pattern present.     c)The time series plot shows a trend...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62...
Consider the following time series. Quarter Year 1 Year 2 Year 3 1 71 68 62 2 50 42 52 3 59 61 54 4 78 81 72 (a) Construct a time series plot.    What type of pattern exists in the data? The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. The time series plot shows a trend pattern, but there is also a seasonal pattern in the data.     The...
Using R and the data in the table below, perform the regression of D on C...
Using R and the data in the table below, perform the regression of D on C (i.e., report the regression equation). Hint: The code to enter the vectors C and D into R is: C <- c(3, 6, 8, 9, 1, 3) D <- c(2, 7, 5, 4, 0, 4) C D 3 2 6 7 8 5 9 4 1 0 3 4 You must figure out how to obtain the regression equation from R. Enter the code below...
Year Quarter Sales (in Billions) 2009 1 2.62 2009 2 2.33 2009 3 2.4 2009 4...
Year Quarter Sales (in Billions) 2009 1 2.62 2009 2 2.33 2009 3 2.4 2009 4 2.42 2010 1 2.72 2010 2 2.53 2010 3 2.61 2010 4 2.84 2011 1 2.95 2011 2 2.79 2011 3 2.93 2011 4 3.03 2012 1 3.44 2012 2 3.2 2012 3 3.3 2012 4 3.36 2013 1 3.79 2013 2 3.56 2013 3 3.74 2013 4 3.8 2014 1 4.24 2014 2 3.87 2014 3 4.15 2014 4 4.18 2015 1 4.8...
home / study / business / accounting / accounting questions and answers / [the following information...
home / study / business / accounting / accounting questions and answers / [the following information applies to the questions displayed below.] lexon inc. is a large ... Question: [The following information applies to the questions displayed below.] Lexon Inc. is a large manuf... [The following information applies to the questions displayed below.] Lexon Inc. is a large manufacturer of affordable DVD players. Management recently became aware of rising expenses resulting from returns of malfunctioning products. As a starting point...
Question 5: Forecasting (8 p) The table below shows the demand (in units per quarter) of...
Question 5: Forecasting (8 p) The table below shows the demand (in units per quarter) of a specific product in the past three years. Quarter Year 1 2 3 4 2015 350 254 176 228 2016 367 258 169 236 2017 342 250 166 228 Predict demand in quarter 1 and quarter 2 of 2018, given that the demand forecast for the whole year is a total of 1,040 units.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT