Please see attached Given the following information:Month 1 23 4 5Sales9 1110 12 8LO(iii) the mean absolute deviation is67(a) Using the three-period weighted moving average with weights assigned to the morecent in order 4, 2 and 1,(1) the sales forecast for Month 7 is(ii) the forecasting error for Month 5 is(b) Using an exponential smoothing technique with alpha = 0.5(i) the sales forecast for Month 7 is(iii) the mean absolute deviation is(ii) the forecasting error for Month 4 isTime le

The given timer series data for the sales with the corresponding months are as…

Given the following information: Month 1 2 3 4 5 Sales 9 11 10 12 8 (iii) the mean absolute deviation is 6 7 (a) Using the three-period weighted moving average with weights assigned to the m recent in order 4, 2 and 1, (i) the sales forecast for Month 7 is (ii) the forecasting error for Month 5 is (b) Using an exponential smoothing technique with alpha = 0.5 (i) the sales forecast for Month 7 is (iii) the mean absolute deviation is (ii) the forecasting error for Month 4 is Time

Given the following information: Month 1 2 3 4 5 Sales 9 11 10 12 8 (iii) the mean absolute deviation is 6 7 (a) Using the three-period weighted moving average with weights assigned to the m recent in order 4, 2 and 1, (i) the sales forecast for Month 7 is (ii) the forecasting error for Month 5 is (b) Using an exponential smoothing technique with alpha = 0.5 (i) the sales forecast for Month 7 is (iii) the mean absolute deviation is (ii) the forecasting error for Month 4 is Time

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter2: Exponential, Logarithmic, And Trigonometric Functions

Section2.CR: Chapter 2 Review

Problem 111CR: Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data...

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Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.
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For a period of 11 years, the figures in the accompanying table were found for annual change in unemployment rate and annual change in mean employee absence rate due to own illness. Year Change in UnemploymentRate Change in Mean Employee Absence Rate Due to Own Illness (Y) 1 -0.2 0.2 2 -0.1 0.2 3 1.4 0.2 4 1.0 -0.4 5 -0.3 -0.1 6 -0.7 0.2 7 0.7 -0.1 8 2.9 -0.8 9 -0.8 0.2 10 -0.7 0.2 11 -1.0 0.2 a. Estimate the linear regression of change in mean employee absence rate due to own illness on change in unemployment rate. b. Interpret the estimated slope of the regression line. thanks.
In Table L-1, the total value of imports of Indonesian goods and services from China for the 2010-2019 period is reported on a quarterly basis. With this data you are asked to analyze it with the Trend model and Seasonal Index. Question: a. Calculate a moving average with the average period length of 4 or MA (4) [why four?] And put the results in a column. Beware of selecting the rows to place the average result. b. Calculate the moving average with the length of the average period is 2 from the data in column MA (4) and the result is given the symbol MA (2x4) and the result is placed in a column. Beware of selecting the rows to place the average result. c. Calculate the ratio to the Moving Average (Y / MA (2x4)) and place it in a new column! d. Calculate a seasonal index and interpret the results! e. Create a Deseasonalized data series and place it in a new column! f. Plot the Dessasonalized data series and read the long-term movement patterns of data! Remember that understanding of…
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