Statistical Techniques in Business and Economics
Statistical Techniques in Business and Economics
16th Edition
ISBN: 9780077639723
Author: Lind
Publisher: Mcgraw-Hill Course Content Delivery
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Chapter 18, Problem 14E
To determine

Obtain the linear trend equation.

Forecast the seasonally adjusted sales for 2014.

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Create a 2-D line chart of Cash Sales for months 1-18. Add a trend line with a forward forecast of 3 periods to the chart. Be sure to include the R-squared value on the chart. Using =TREND(), complete the forecast table for months 19-21     1  $    2,145,600   19   2  $    2,175,200   20   3  $    2,255,200   21   4  $    2,505,600       5  $    2,748,800       6  $    2,358,000       7  $    3,165,200       8  $    3,253,600       9  $    3,484,000       10  $    3,731,200       11  $    3,741,200       12  $    3,558,800       13  $    3,771,200       14  $    3,787,600       15  $    3,813,600       16  $    3,822,800       17  $    3,828,000       18  $    3,897,200
The analysis of Earnings Per Share (EPS) is as follows: 2015: $5.70 2016: $3.30 2017: $6.21 2018: $6.20 2019: $4.91 a. What is the trend analysis for that EPS and why it is increasing and decreasing?
In Colorado, sales of medical marijuana began in November 2012; however, the Department of Revenue did not report tax collection data until February of 2014. The accompanying data file includes monthly revenue from medical and retail marijuana tax and fee collections as posted in the Colorado state accounting system. Use the linear trend model (no seasonality) to forecast the tax revenue for November and December of 2018. Date Revenue February/14 3,519,756 March/14 4,092,575 April/14 4,980,992 May/14 5,273,355 June/14 5,715,707 July/14 6,522,085 August/14 7,407,450 September/14 7,741,167 October/14 7,232,870 November/14 7,642,800 December/14 7,465,568 January/15 8,558,141 February/15 8,802,295 March/15 9,099,395 April/15 9,979,643 May/15 10,617,311 June/15 11,326,452 July/15 10,856,584 August/15 12,811,437 September/15 13,181,758 October/15 11,656,736 November/15 11,290,012 December/15 12,231,410 January/16 13,247,434 February/16…

Chapter 18 Solutions

Statistical Techniques in Business and Economics

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