The following table shows the annual returns (in percent) for the Fidelity Latin America Fund and theFidelity Canada Fund from 2005 through 2009.Latin America-10.3740.56-20.57-15.6a.Year20182019C.202020212022e.2.61Canada-14.2925.784.3926.91-2.54b. Calculate the sample covariance and the sample correlation. Show your work as the table onpage 25 of the course packet. You may construct the table in Excel and use "=sum" function.Don't use other functions and Data Analysis.Use Excel's Data Analysis to get the printouts of the descriptive statistics for Latin America Fundand the descriptive statistics for Canada Fund.Use Excel's statistical functions to get the sample covariance and the sample correlation. Youcan use the Excel results to check your calculation in part b.d. Construct a scatter diagram with Latin America Fund returns on the horizontal axis and CanadaFund returns on the vertical axis. Comment on any apparent relationship between these twofunds.Based on the correlation, what type of the relationship between the Latin America Fund andCanada Fund?

Given data: Latin America Canada -10.37 -14.29 40.56 25.78 -20.57 4.39 -15.6 26.91 2.61…

Answered: The following table shows the annual…

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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The accompanying data represent the annual rates of return of two companies' stock for the past 12 years. Complete parts (a) through (k). O A. OB. 0.50- 0.50- 0.00- 0.00- -0.50- -0.50- -0.3 RR of Company 2 0.0 0.3 -0.3 0.0 0.3 RR of Company 1 OC. 0.30- 0.50- 0.00- 0.00- -0.30- -0.50- o.0 0'5 0.0 0.3 -0.5 RR of Company 2 0.5 -0.3 RR of Company 1 (b) Determine the correlation coefficient between rate of return of Company 1 and Company 2. The correlation coefficient is 0.966. (Round to three decimal places as needed.) (c) Based on the scatter diagram and correlation coefficient, is there a linear relation between rate of return of Company 1 and Company 2? Yes No (d) Find the least-squares regression line treating the rate of return of Company 1 as the explanatory variable. y=x+O (Round to four decimal places as needed.) RR of Company 1 RR of Company 1 RR of Company 2 RR of Company 2
Please Answer 3 Sub Parts the question and no Reject.... Thank u
Monthly Sales 6267.19 7058.06 7119.5 7147.18 7198.52 7298.09 7325.7 7335.68 7355.97 7481.05 7490.23 7530.08 7616.09 7682.69 7684.14 7704.12 7704.98 7779.28 7798.23 7815.15 7844.16 7890.21 7977.6 7993.16 8021.03 8028.37 8068.86 8082.42 8096.17 8119.25 8129.21 8190.68 8255.28 8282.44 8376.31 8392.4 8400.95 8451.16 8456.66 8505.35 8539.25 8543.65 8573.05 8641.78 8667.48 8751.08 8777.97 8800.08 8888.65 8907.03 9096.87 9241.74 9411.68 9450.73 9484.62 9514.57 9521.4 9524.91 9733.44 10123.24 Given the company’s performance record and based on the empirical rule of normal distribution (also known as the 68%-95%-99.7% rule), what would be the lower bound of the range of sales values that contains 68% of the monthly sales? What would be the upper bound of the range of sales values that contains 68% of the monthly sales?
Calculate the missing information for the stock. (Round current yield to the nearest tenth of a percent.) Company Earningsper Share AnnualDividend Current Priceper Share CurrentYield(as a %) Price-EarningsRatio a medical case management company $6.69 $1.30 $53.52 %
Maryland Café Using the following information to answer the questions, Please take 2 decimals in calculation. Month Sales ('000s) January 24 37 February March 24 42 24 39 April 2$ 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
Forecasting Methods: Perform Trend Series Analysis (sales projection for the year 10, 12 and 17) Make based on the sales data below:Year 1: 24,333; Year 2: 33,524; Year 3: 26,778; Year 4: 30,567; Year 5: 27,564; Year 6: 24,555; Year 7: 21,777 and Year 8: 25,669.
The Bank of Canada is interested in studying the relationship between mortgage rates and median home prices. The data is provided below Year interest rate (%) Median home price 1988 10.30 $183,800 1989 10.30 $183,200 1990 10.10 $174,900 1991 9.30 $173,500 1992 8.40 $172,900 1993 7.30 $173,200 1994 8.40 $173,200 1995 7.90 $169,700 1996 7.60 $174,500 1997 7.60 $177,900 1998 6.90 $188,100 1999 7.40 $203,200 2000 8.10 $230,200 2001 7.00 $258,200 2002 6.50 $309,800 2003 5.80 $329,800 2004 5.80 $431,000 2005 5.80 $515,000 2006 6.40 $537,000 2007 6.30 $496,000 2008 6.00 $352,000 2009 5.00 $232,000 2010 4.70 $291,700 2011 4.40 $262,900 2012 3.60 $299,200 2013 4.00 $321,200 2014 4.10 $373,500 2015 3.80 $358,100 2016 3.60 $382,500 2017 4.00 $402,900…
The following table shows the price per share of Apple stock at the beginning of different months. Calculate the four-month weighted moving average for October 2021. Round your answer to the nearest cent. Month July 2021 August 2021 September 2021 October 2021 November 2021 December 2021 Apple Stock Price Simple Moving Average Weighted Moving Average $136.60 $146.36 $152.83 $141.90 $148.99 $167.48 ???
From the data in the table it shows the 2019 daily return data for the S&P 500 Index (stocks) and the US 30 year Bond (bonds). How do I test the hypothesis that mean daily return on stocks exceeds the mean daily return on bonds? Please show the steps. S&P500 dailt returns data: Date Price Daily Return 2019-12-31 3230.78 0.294602% 2019-12-30 3221.29 -0.578082% 2019-12-27 3240.02 0.003398% 2019-12-26 3239.91 0.512817% 2019-12-24 3223.38 -0.019545% 2019-12-23 3224.01 0.086614% 2019-12-20 3221.22 0.494478% 2019-12-19 3205.37 0.445929% 2019-12-18 3191.14 -0.043230% 2019-12-17 3192.52 0.033529% US 30 Year Bond Date Price Daily Return 31-Dec-19 2.389 2.32% 30-Dec-19 2.335 0.78% 29-Dec-19 2.317 -0.03% 27-Dec-19 2.318 -0.16% 26-Dec-19 2.321 -0.71% 25-Dec-19 2.338 0.15% 24-Dec-19 2.334 -0.83% 23-Dec-19 2.354 0.31% 22-Dec-19 2.346 0.12% 20-Dec-19 2.344 -0.43%
Compute the NPV statistic for Project Y if the appropriate cost of capital is 12 percent. (Negative amount should be indicated by a minus sign. Do not round intermediate calculations and round your final answer to 2 decimal places.) Project Y Time: 1 2 3 4 Cash flow: -$8,000 $3,350 $4,180 $1,520 $300
Coca-Cola Revenues ($ millions), 2014 to 2019 Quarter 2014 2015 2016 2017 2018 2019 Quarter 1 10.58 9.94 10.28 9.12 7.63 8.02 Quarter 2 12.57 11.63 11.54 9.70 9.42 10.00 Quarter 3 11.98 11.77 10.63 9.08 8.78 9.51 Quarter4 10.87 10.13 9.41 7.51 5.36 9.07 What is the trend model for the deseasonalized time series? (Round your answers to 2 decimal places.) State the model found when performing a regression using seasonal binaries. (A negative value should be indicated by a minus sign. Round your answers to 4 decimal places.) Use the regression equation to make a prediction for each quarter in 2020. (Enter your answers in millions rounded to 3 decimal places.)
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