Assuming the trend to be absent determine the seasonal indices for the Following time series by the method of simple averages. Yrs. 1994 1995 1996 1997 1998 Qrs. 72 76 70 74 76 78 68 II II 66 74 74 80 82 84 84 86 IV 70 74 80 78 82
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- The US. import of wine (in hectoliters) for several years is given in Table 5. Determine whether the trend appearslinear. Ifso, and assuming the trend continues, in what year will imports exceed 12,000 hectoliters?Table 6 shows the year and the number ofpeople unemployed in a particular city for several years. Determine whether the trend appears linear. If so, and assuming the trend continues, in what year will the number of unemployed reach 5 people?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.
- Q. 2 Describe the method of Moving averages for estimating the trend in a time seriesSara Jenkins notices that sales of several items that her company manufactures have shown a stable increase over the past few years, regardiess of the time of year or state of the economy. What is this pattern for sales of those items over time called? Multiple Choice Seasonal variation Irregular component Cyclical verietionSuppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period.Seafood 2000 Qty. (lb) | 2000 Price ($/lb) | 2009 Price ($/lb)Halibut 75,090 1.91 2.33Lobster 83,080 3.72 3.09Tuna 50,779 1.87 1.97(a)Compute a price relative for each type of seafood. (Round your answers to one decimal place.)Seafood Price RelativeHalibut 122.0 Lobster _________ Tuna 105.3 (b)Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.)I2009 = ___________ Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.)Seafood prices have decreased by ______ % over the 9-year period according to the index.
- Are the data displayed in the graph above discrete or continuous? What is the level of measurement of the data? Are the data above time series or cross-sectional data? Examine the data for each race/ethnicity group. Do the data represent a stationary or nonstationary process? Do any of the race/ethnicity groups exhibit a decreasing trend? Do any of the race/ethnicity groups show a strictly increasing trend over the entire time period from 2000 to 2016?choices: a. true b. false c. others (specify) 1. A time series where the seasonal component has been removed is called seasonal stationary.. 2. A white noise process will have autocovariances that are zero except at lag one. 3. Box plot can be used to detect outliers from the timeseries data.When the moving average method is used to estimate the seasonal factors with quarterly sales data, a ______ period moving average is used.
- Find the average seasonal index for Quarter 2. Seasonality for the four quarterly periods is given in the table below. Quarter Seasonal Factor 2019 Seasonal Factor 2020 Seasonal Factor 2021 Quarter #1 1.20 1.17 Quarter #2 1.47 1.23 0.72 Quarter #3 0.57 0.89 1.22 Quarter #4 0.79 Submit Answer format: Number. Round to: 2 decimal places.Nonfatal accidents during January 2019 to October 2019 are listed in Table 4. The traffic department assigned a task to data analyst whether the monthly totals of nonfatal accidents are decreasing (increasing). Table 4.Shows the list of the nonfatal accidents Month 1 2 3 4 5 6 7 8 9 10 Nonfatal 454 352 | 434 492| 511 555 448 532 515 477 (a) Calculate coefficient of determination between the number of months and the nonfatal accidents. (b) Interpret (in context) the value of the coefficient of determination. What do your analysis show about the increase of decrease of nonfatal accidents?What time-series pattern was exemplified during the 1980s when the American economy enjoyed a period of prosperity? Multiple Choice Seasonal Cyclicel Trend
