34. The following data relate to the number of passenger cars (in million) soldfrom 2007 to 2014 :YearNumberYearNumber5.67.920076.720115.320122008200920104.320135.86.120146.1(a) Fit a straight line trend to the data through 2012 only.(b) Use your result in (a) to estimate production in 2017 and compare with the actual production..

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Answered: 34. The following data relate to the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Cryptocurrencies have rapidly become an important alternative to traditional currencies for many types of transactions. Etherium, one of the most prominent cryptocurrencies, has rapidly appreciated in value. Daily Etherium trading information for the first 332 days of 2021. It includes the following variables: Date Day – Day of the year, used to assess trend over time Volume (US $) – Daily trading volume Opening Price (US $) – Opening price for daily trading Price Change (US $) – Daily change in price from opening to close 1. Determine the sample correlation coefficient, r, between Volume and Price Change. Test the alternative hypothesis that Volume has a linear relationship to Price Change. Specifically, what are the test statistic and the p-value for that test statistic? For α = .05, what do you conclude about the relationship between the variables? (reminder: the T.DIST.2T function requires input of a positive test statistic)
Use the border crossings data below and a = = 0.3 and ẞ = 0.2. Truck Crossings Month February 113,691 March 139,204 April 121,498 May 127,511 June 131,500 July 105,245 August 126,606 Copy Data Step 2 of 2: Calculate the adjusted exponential smoothing forecast for September 2011. Assume the forecast component for February 2011 to be the actual truck crossing value minus the initial trend. Let the initial trend be 10,000 trucks. Round your answer to two decimal places.
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TABLE 1: An economist at Nedbank ran a study of the relationship between FTSE/JSE All Shares index retu (JALSH) and consumer price index (CPI) from 2006 to 2017, the data collected is shown in the Tal below. FTSE/JSE All Shares index return (JALSH) and consumer price index (CPI) from 2006 to 2017. CPI (X) 4.7 7.1 11.5 7.1 4.3 5.0 5.6 5.7 6.1 4.6 6.4 5.3 Year 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Question 1 Use Table 1 above to answer this question JALSH (Y) 0.41 0.19 -0.23 0.32 0.19 0.03 0.27 0.21 0.11 0.05 0.00 0.21 Q.1.1 The estimated regression equation with dependent variable FTSE/JSE All Shares index return (JALSH) and independent variable consumer price index (CPI) was Q.1.1.1 Calculate Bo JALSH, =B₁ + B₂CPI¡
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5. Management of a home appliance store wants tounderstand the growth pattern of the monthly sales of a new technology device over the past two years.The managers have recorded the relevant data inthe file P13_05.xlsx. Have the sales of this devicebeen growing linearly over the past 24 months? Byexamining the results of a linear trend line, explainwhy or why not.
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Below is data collected over 6 specific years. The data collected is the Consumer Price Index (CPI) and the cost of a slice of tuna. We would like to build a model using the CPI to predict the cost of a slice of pizza in a given year. Year 1960 1973 1986 1995 2002 2003 CPI (x) 30.2 48.3 112.3 162.2 191.9 197.8 Cost of a slice of tuna(y) 0.15 0.35 1.00 1.25 1.75 2.00 Plot the data. Are we justified in creating a Linear Regression model to predict the price of a pizza slice using the CPI? Why or why not? Calculate the descriptive statistics. Calculate the sums of squares Calculate the slope, intercept, and correlation. What is this correlation value telling us? Assemble the prediction equation, and interpret the slope within the context of the problem. State the hypotheses for the hypothesis test for regression.
The following are the annual profit in thousands in a.certain business. 2004 2005 2002 72 2006 2001 60 2003 75 2007 -97 Year Profit (000 OF it a straight line trend by the method of least square and tabulate the trend values and short term fluctuation. e What is the monthly incrèase in profit? O Estimate profit for 2014. 65 80 85
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Q3. Consider the following data. Period Rate of Return (%) 1 -6.0 2 -8.0 3 -4.0 4 2.0 5 5.4 What is the mean growth rate over these five periods?
Maryland Café Using the following information to answer the questions, Please take 2 decimals in calculation. Month Sales ('000s) January 24 37 February March 24 42 24 39 April 2$ 29 May June 49 40 July August September 39 40 43 October ?? 1. What is the forecast for October using a 5-month moving average approach? $42,200 2. What is the forecast for October using a 3-month weighted moving average approach? In order from most recent to least recent month, assign weights of 0.5, 0.2 and O.1 $41,470 3. What is the forecast for October using exponential smoothing with alpha = 0.2, July forecast was 30 $35.350

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