Consider the following time series.t 1Yt6210.(m)(a) Choose the correct time series plot.(0)16.1412105.864161412348 13105.86515- Select your answer -What type of pattern exists in the data?Select your answer-(11)(c) What is the forecast for t- 67If required, round your answer to one decimal place.(iv)16141210864216.141210822(b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series.If required, round your answers to two decimal places.y-intercept, bo-Slope, bi-MSE-

We get the data in excel(a)To plot the graph we select the data, we go toInsert tab -> charts…

Answered: (a) Choose the correct time series…

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 values of Alabama building contracts (in millions of dollars) for a 12-month period follow. (a) Construct a time series plot. 400 350 300 250 200+ O 1 2 3 4 Month 5 6 What type of pattern exists in the data? 7 240 340 220 260 280 310 8 9 150- 100 The data appear to follow a seasonal pattern. The data appear to follow a cyclical pattern. The data appear to follow a trend pattern. O The data appear to follow a horizontal pattern. 10 50 0 11 12 01 2 400 350 300 250 200- 150 100 50 0 0 1 2 3 4 5 34 5 6 7 8 9 10 11 12 13 Month Time Series Value (in $ millions) 240 340 (b) Compare the three-month moving average forecast with the exponential smoothing forecast using a = 0.2. (Round your answers to two decimal places.) 220 260 280 310 210 320 250 6 320 7 Month 230 220 210 320 250 320 230 220 de 8 9 10 11 12 13 r 3-Month Moving Average Forecast (in $ millions) 400 350+ 300 250 200+ 150- 100+ 50+ 0 01010101000 400 T 350 300 0 1 2 3 4 250+ 200+ 150+ 100+ α = 0.2 Forecast (in $ millions) 50…
a. Compute a three-period moving average for these stock prices (in R, order = 3). What are the first two moving average values? (Round your answer to two decimal points) First: $ Second: $
What year is the title of the grapth (image attached) most likely to be referring to when it says the future (Likelihood of industries becoming automated in the future")?
12. Fit a straight line trend by the method of least squares to the following data. Assuming that the same rate of change continues, what would be the predicted earming for the year 2015? Year 2001 2002 2003 2004 2005 2006 2007 2008 Eamings (Rs. lakh): Do not plot the trend values on the graph. 38 40 65 72 69 60 87 95
Please answer part a, b, c, and d
QUESTION Samuel is a butchery vendor at a local open market. His daily income and the number of hours worked for the first ten days after the lockdown period is shown below: Day Income (N$) Number of hours 1 800 6 2 900 8 3 600 4 4 1200 5 5 1400 9 6 2000 9 7 1400 8 8 900 6 9 1300 7 10 1400 8 REQUIRED TO; determine whether it is the data time series or cross sectional? Motivate the reason. Calculate and interpret the following descriptive measures for the random variable Income: Mean Median Mode 33rd percentile Interquartile range 3. Calculate and interpret the covariance between the random variables Income and Number of hours worked. 4. Calculate and interpret the correlation coefficient between the random…
Qn4. The stem and leaf plot below gives the truncated average weekly incomes (in THOUSANDS of dollars) of several families. Stem Leaves 1 8 2 1 3 1 40 55 61 5 13499 29 2. Evaluate the following for the actual data value from the stem and leaf plot. (a) What was the highest weekly income range ? (b) What was the lowest weekly income range? (c) How many families are there in the plot? (d) What range does 42 represent?
Please show me all steps.
Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. d. What is the forecast for week 7 (to 2 decimals)?
Consider the time series data in the table below (a-c all count as one problem) a. Construct a time series plot. What type of pattern exists in the data?b. Develop a three-week moving average for this time series. Compute MSEand a forecast for week 8. c. Use α = 0.2 to compute the exponential smoothing value for the time series.Compute MSE and a forecast for week 8.
c) Following three forecasting techniques were used to predict the value of a time series. These are given in the following table. Forecasting Value F Technique 2 Actual value yt Technique 1 Technique 3 17 21 22 19 27 24 20 24 29 26 25 28 28 32 38 31 31 35 30 39 For each, calculate the mean absolute deviations (MAD) and sum of squares for forecast error (SSFE) to determine which was most accurate.
Please round answers according to the question

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