The folowing gives the number of accidents hat occumed on Florida State Highway 101 during the last 4 monthsMonthJanFebMarApr105Number of Accidents2540Using the least-squares regression method, the trend equation for forecasting is (round your responses to hao decimal places):Using least-squares regression, the forecast for the number of accidents that will occur in the month of May =accidents (enter your response as a whole number)

Regression line equation shows the relationship between two variables, one being dependent variable…

The folowing gives the number of acoidents hat oooumed on Floka Sala HI Apr 106 Month Jan Feb Mar Number of Accidents 25 40 60 Using the leastquares regression method, the trend equalion for forecasting is (round your responses to hwo decimal pleces Using leastequares regression, the forecast for the number of accidents that will occur in the month of May accidents (enter your response asa whole number)

The folowing gives the number of acoidents hat oooumed on Floka Sala HI Apr 106 Month Jan Feb Mar Number of Accidents 25 40 60 Using the leastquares regression method, the trend equalion for forecasting is (round your responses to hwo decimal pleces Using leastequares regression, the forecast for the number of accidents that will occur in the month of May accidents (enter your response asa whole number)

FINANCIAL ACCOUNTING

10th Edition

ISBN:9781259964947

Author:Libby

Publisher:Libby

Chapter1: Financial Statements And Business Decisions

Section: Chapter Questions

Problem 1Q

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Returns Year X Y 12345 15% 20% 18 30 9 15 -9 5 10 -16 20 Using the returns shown above, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. (Do not round intermediate calculations. Enter your average return and standard deviation answers as a percent rounded to 2 decimal places, e.g., 32.16, and round the variance answers to 5 decimal places, e.g., .16161.) X Y Average returns 700 % Variances Standard deviations % 200 16 % % 700
task 2. expected loss 300. find the variance and standard deviation
Year INM +5 3 4 Returns 14% 28 9 10 Y 18% 29 10 -26 20 Using the returns shown above, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. (Do not round intermediate calculations. Enter your average return and standard deviation answers as a percent rounded to 2 decimal places, e.g., 32.16, and round the variance answers to 5 decimal places, e.g., 16161.) Average returns Variances Standard deviations X 8.00 % 17.90 % Y 10,20 % 21.34 %
Returns Year X Y 12345 11% 18% 25 26 11 10 -18 10 -23 17 Using the returns shown above, calculate the arithmetic average returns, the variances, and the standard deviations for X and Y. (Do not round intermediate calculations. Enter your average return and standard deviation answers as a percent rounded to 2 decimal places, e.g., 32.16, and round the variance answers to 5 decimal places, e.g., .16161.) X Y Average returns Variances 7.80 % 9.60% 0.01974 0.02947 Standard deviations 14.05 % 17.17%
Year a. b. 12345 C. Returns X 22.0% 17.0 10.0 20.0 5.0 a. Calculate the average returns for X and Y. (Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) b. Calculate the variances for X and Y. (Do not round intermediate calculations and round your answers to 6 decimal places, e.g., 32.161616.) c. Calculate the standard deviations for X and Y. (Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) Y 27.0% 4.0 29.0 - 15.0 33.0 X Answer is complete but not entirely correct. Average return Variance Standard deviation X 8.00 2.445000 x 15.64 % % Y 14.72 X % 4.501920 X 21.22 X %
Use the following returns for X and Y. Returns Year x y 1 21.8% 26.4% 2 -16.8 -3.8 3 9.8 28.4 4 19.6 -14.6 5 4.8 32.4 a. Calculate the average returns for X and Y. (Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.) b. Calculate the variances for X and Y. (Do not round intermediate calculations and round your answers to 6 decimal places, e.g., 32.161616.) c. Calculate the standard deviations for X and Y. (Do not round intermediate calculations and enter your answers as a percent rounded to 2 decimal places, e.g., 32.16.)
Over the past four days, the realized values of the random variable A are: 8, -2, 2 and 11. In the same order, the realized values of the random variable B are: 6, 2, 2 and -10. Compute the correlation between A and B.
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in native forecast the estimate for the next period is equal to forecast to the past period True or False?
1)Find the forecast for 2012 using the time series trend method. Period Demand 2007 200 2008 150 2009 125 2010 100 2011 50 2) Find the forecast for all possible periods N=3, using the data and the moving average method.
Given the following historical returns, what is the variance? Year 1 = 9%; year 2 = -11%; year 3 = 8%; year 4 = -12%; and year 5 = -9%. the correct answer is .0112. How was that found? Please do not answer in excel format