The data for this problem are the air freight shipments (in ton-miles) each month (beginning inJanuary for one year) in the U. S. for 10 years. The following is a time series plot of this data.What are the most important features of this plot?Ton-miles3000-2500-2000-1500-1000-1Time Series Plot of Ton-milesܚ ܪܘܐܐܐܘܚܐ ܀12 24364860Index728496108 120

Given the time series plot for the data of air freight shipments (in ton-miles) each month in the…

Answered: The data for this problem are the air…

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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QUESTION 2 The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1, the number of days in the month x2, the average product purity x3, and the tons of product produced x4. The past year's historical data are available and are presented in the following table. 240 25 24 91 100 236 31 21 90 95 290 45 24 88 110 274 60 25 87 88 301 65 25 91 94 316 72 26 94 99 300 80 25 87 97 296 84 25 86 96 267 75 24 88 110 276 60 25 91 105 288 50 25 90 100 261 38 23 89 98 If y= ao+a1x1 +a2X2+a3X3+a4X4 represents the regression model. What is the value of a,? Use 2 decimal places.
. Death 2010 The January 2012 National Vital StatisticsReport by the Centers for Disease Control and Preventionincluded information on deaths in the United States forthe year 2010. The 4 most common causes-heart disease,cancer, respiratory diseases, and stroke-accounted fornearly 60% of all deaths. What problems do you see withthe graph at the top of the next column?
Question 2 The imports of a company were as follows: Price per unit (in Pula) Number of units Product 2012 2022 2012 2022 A 5.00 12.00 2500 2800 B 6.50 14.50 5000 4950 C 10.00 16.00 3500 4300 Use 2012 as base year to calculate: The price index of Laspeyeres. The price index of Paasche. The quantity index of Laspeyeres. The quantity index of Paasche. Hence find the Fishers Price and Fishers Quantity Indexes.
Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 127 mg/dl and standard deviation 10 mg/dl. Let L denote a patient's glucose level.
What is the answer to this question? Find the y-intercept, find the known year data find if it’s first or last , and then find the year acts.
Price of eggs and milk: The following table presents the average price in dollars for a dozen eggs and a gallon of milk for each month from January through October 2007. Use a TI-84 calculator to answer the following. Dozen Eggs Gallon of Milk 1.30 3.16 1.28 3.12 1.21 3.07 1.24 3.00 1.21 3.08 1.24 3.02 1.25 3.05 1.26 3.06 1.35 2.99 1.54 3.00 Compute the least-squares regression line for predicting the price of milk from the price of eggs. Round the slope and y-intercept to at least four decimal places.
The numbers of polio cases in the world are shown in the table for various years. Year Number of Polio Cases (thousands) 1988 1992 1996 2000 2005 2007 350 138 33 3 3.2 1.3 Let f(t) be the number of polio cases (in thousands) t years after 1980. Copy the data to Desmos to draw a scatterplot of the data. Make sure to adjust the years so they represent years after 1980. a) Is it better to model the data with a linear or with an exponential model? [Select an answer b) Use regression in Desmos to find an appropriate model for f. Make sure to check Log mode in the parameter window in Desmos if you are fitting an exponential model. f(t) Round the coefficients to 4 decimal places. Hint: Use the variablet from the drop down menu when entering the equation. Do not just type in t. c) Predict the number of polio cases in 2013. d) Find the approximate half-life of the number of polio cases. Round the answer to one decimal place. years
Ozone levels (in parts per billion, ppb) were recorded at sites in New Jersey monthly between 1926 and 1971. Here are boxplots of the data for each month The month of Ozone (ppb) 440- 400- The month of 360- 320- 280- 240 1 L TH OHH OHH a) In what month was the highest ozone level ever recorded? The highest ozone level ever was recorded in b) Which month has the largest IQR? c) Which month has the smallest range? • HIH • has the largest IQR. HOH O HH 2 3 4 5 6 7 8 9 Month has the smallest range. d) Write a brief comparison of the ozone levels in January and June. Choose the correct answer below. OA. The median ozone level in June was slightly lower than the median ozone level in January and the IQR was significantly smaller. OB. The median ozone level in June was slightly higher than the median ozone level in January, but the IQR was significantly smaller. OHH OC. The median ozone level in June was slightly lower than the median ozone level in January, but the IQR was significantly…
Consider the following table that gives the population of City A from Year 1 to Year 6. Complete all parts (a-k) to this question. Part 1: Fill-in the last two columns in the table. List your answers as a - j for the chart and answer the question k below. Round growth rate to the nearest ten-thousandth (4 decimal places). Population of City A, Year 1 to year 6 Year Population (P) Change ΔP{"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><mi>P</mi></math>"} Growth Rate ΔPP{"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mo>∆</mo><mi>P</mi></mrow><mi>P</mi></mfrac></math>"} 1 315,422 N/A N/A 2 320,421 a. b. 3 321,765 c. d. 4 322,162 e. f. 5 331,165 g. h. 6 331,200 i. j. Part 2: k. Does it make sense to fit this data with an exponential model? Why or why…
Suppose that an urban geographer is studying historical changes in housing characteristics in London, England. She wishes to determine if house size (square feet of living area) and the number of years since home construction are associated. What method could she use to learn if such a relationship exists.
In time series, seasonal variations can occur within a period of: A. Three years B. One year O C. Nine years D. Four years

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