Suppose the following data shows a company's annual revenue from 2008 (period 1) to 2017 (period 10) in billions of dollars.YearPeriodAnnual Revenue($ billions)20081$20.8020092$24.6520103$30.3220114$37.9120125$50.1820136$56.5020147$66.0020158$73.9920169$90.27201710$110.86What type of pattern exists?The time series plot indicates a linear pattern.The time series plot indicates curvature in the data.The time series plot shows a cyclical pattern.The time series plot shows a horizontal pattern.(b) Develop a quadratic trend equation. (Round your numerical values to four decimal places.)

Steps to make scatterplot using Excel (scatterplot can be used to see what pettern exists in the…

Answered: Suppose the following data shows a…

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter4: Polynomial And Rational Functions

Section4.6: Rational Functions

Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.

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Find the mean hourly cost when the cell phone described above is used for 240 minutes.
What is the total effect on the economy of a government tax rebate of $500 to each household in order to stimulate the economy if each household will spend of the rebate in goods and services?
Walmart predicted the following end-of-year earnings from 2003 - 2012 in billions of dollars (9.5, 9.8, 10.2, 10.7, 10.5, 11.0, 12.1, 14.7, 16.3, 18.7). Their actual end-of- year earnings for the same years are as follows: 9.1, 9.2, 10.6, 10.3, 9.9, 10.4, 11.6, 11.8, 13.1, 22.7). In testing the claim that the mean predicted value is the same as the mean actual value, which p-value is correct? 0.228 0.456 0.779 0.05 4
The table below was made at the end of October 2018 and shows the monthly percentage unemployment rates in the United States starting in January 2017. Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec 2017 4.8 4.7 4.5 4.4 4.3 4.4 4.3 4.4 4.2 4.1 4.1 4.1 2018 4.1 4.1 4.1 3.9 3.8 4.0 3.9 3.9 3.7 3.7 - - A group wants to make a bar graph from this data to convince people that the unemployment rate has not decreased much. Their horizontal axis will have a bar for each month. How might they construct their vertical axis so the decrease appears the smallest? a. The vertical axis has a scale from 0% to 50%. b. The vertical axis has a scale from 0% to 100%. c. The vertical axis has a scale from 0% to 5%. d. The vertical axis has a scale from 3% to 5%.
A famous Chinese restaurant would like to find out the change in demand on its dim-sum. After checking its purchase records in 2020 and 2021, the restaurant collected the data as follows: 2020 2021 Items Price ($) Quantity Price ($) Quantity Shrimp Dumpling 10 60 12 69 Spring Roll 7 51 62 Chicken Feet 8 73 9 77 (a) Using 2020 as the base year, calculate the Laspeyres Price Index of 2021. (b) Using 2020 as the base year, calculate the Paasche Price Index of 2021. (c) Using the result in part (a) and (b), calculate the Fisher Price Index of 2021.
Find the MSE in part (b) please.
The following table reports the percentage of stocks in a portfolio for nine quarters: a. Construct a time series plot. What type of pattern exists in the data?b. Use trial and error to find a value of the exponential smoothing coefficient a thatresults in a relatively small MSE.c. Using the exponential smoothing model you developed in part b, what is the forecastof the percentage of stocks in a typical portfolio for the second quarter of year 3?
An electronics company had sales of $25,000,000 in the year just completed. Sales are expected to decline by 3% per year for the next three years un�l new drugs, now under development, receive regulatory approval. Then sales should grow at 7% per year for the next four years. What are the expected sales for the final year of the seven-year period? [
The table below shows the year open and year closing price of the S&P 500 Stock Index from 2005 to 2020: Year Year Open Year Close Annual Percent Change 2005 $ 1,202.08 $ 1,248.29 2006 $ 1,268.08 $ 1,418.30 2007 $ 1,416.60 $ 1,468.36 2008 $ 1,447.16 $ 903.25 2009 $ 931.80 $ 1,115.10 2010 $ 1,132.99 $ 1,257.64 2011 $ 1,271.87 $ 1,257.60 2012 $ 1,277.06 $ 1,426.19 2013 $ 1,462.42 $ 1,848.36 2014 $ 1,831.98 $ 2,058.90 2015 $ 2,058.20 $ 2,043.94 2016 $ 2,012.66 $ 2,238.83 2017 $ 2,257.83 $ 2,673.61 2018 $ 2,695.81 $ 2,506.85 2019 $ 2,510.03 $ 3,230.78 2020 $ 3,257.85 $ 3,756.07 Find the annual percent change for the S&P 500 from 2005 to 2020; (Put those values in the table above) Compute the mean,…
The following table shows a sample of room rates for a 100 room resort hotel in Nova Scotia for the time period Jan. 1 to Dec. 2003. Note that 1/1-7/3 means January 1 to March 7, 2003. Be sure to scroll down to see the bottom of the rate table. 2003 Room Rates A Oceanfront 1 double bed Oceanfront 2 double beds Oceanfront Effic, 2 double beds 2 room suite 3 double beds Oceanfront Suite 3 double beds Extra Person B C D E 1/1 - 7/3 75 85 105 120 140 5 8/3 30/3 125 135 155 175 200 8 31/3 - 31/5 85 115 130 150 5 1/6 -30/6 100 110 130 150 175 5 1/7 2/9 -1/9 -8/10 150 95 180 200 225 10 105 125 140 165 7 9/10 -1/12 85 95 115 130 5 2/12 -20/12 75 85 105 120 140 5 21/12 - 31/12 125 135 155 175 200 10 IMPORTANT: Please omit the dollar signs in all answers. Note: Suites have 3 beds. a. For the 9 time periods, what was the mean extra person rate? b. (i) This hotel has 20 type A rooms, 15 type B, 30 type C, 25 type D and the remainder are type E. If the hotel was fully booked (with no extra people…
The following table shows the average monthly distance traveled (in billion miles) by vehicles on urban highways for five different years. Urban Highways - Average Monthly Distance Traveled by Vehicles (Billion Miles) Years Jan Year 1 4.22 Year 2 4.31 Year 3 4.38 Year 4 4.45 Year 5 4.51 Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 5.32 5.21 5.12 4.92 4.49 4.55 4.49 4.44| 4.39 4.37 4.35 4.68 | 4.74 | 4.79 4.88 4.92 5.44 5.34 5.24 4.98 4.59 4.68 4.65 4.61 5.51 5.36 4.63 4.85 4.89 4.98 5.01 5.41 4.71 4.78 4.82 5.59 5.5 5.41 4.72 4.78 4.79 4.82 5.06 5.11 5.65 5.62 5.49 5.12 4.8 4.88 4.82 4.95 5.12 5.22 5.44 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model to develop an equation to account for seasonal effects and any linear trend in the data. To capture seasonal effects, use the dummy variables Jan = 1 if month is January, 0 otherwise; Feb = 1 if month is February, 0 otherwise; ...; Nov = 1 if month is November, 0 otherwise; and…
The accompanying data represent the annual rates of return of two companies' stock for the past 12 years. Complete parts (a) through (k). Year Rate of Return of Company 1 Rate of Return of Company 21996 0.203 0.3981997 0.310 0.5101998 0.267 0.4101999 0.195 0.4362000 -0.101 -0.0602001 -0.130 -0.1512002 -0.234 -0.3572003 0.264 0.3282004 0.090 0.2072005 0.030 -0.0142006 0.128 0.0932007 -0.035 0.027 (j) Plot residuals against the rate of return of Company 1. Does the residual plot confirm that the relation between the rate of return of Company 1 and Company 2 is linear? Yes or No? (k) Are there any years where the rate of return of Company 2 was unusual? Yes or No?

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