The total number of thousands of tons of coal produced per year over a 10-year periodfor a certain region is provided in the accompanying dataset. Use double exponentialsmoothing to determine which pairs of values for a and ß minimize MAD for thisdataset.α = 0.1, p=0.9; a=0.5, ß= 0.2; x = 1, ß= 0.6Click the icon to view the coal production data.First find the MAD for each pair of values, a and ß.(Type integers or decimals rounded to two decimal places as needed.)XВMAD0.90.20.60.10.5112314567891011121314151617181920212223AYear12345678910BCoal Production (thousands of tons)C434333 434332.9420420 420419.9439047 439046.9477192 477191.9504182 504181.9526959 526958.9546824 546823.9564878 564877.9556704 556703.9570973 570972.9D

Answered: The total number of thousands of tons…

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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Some of the bars in the following graph cannot be clearly seen due to the large difference in values in the #of URLS corresponding to different amount of traffic (website visits). What kind of transformation to the data would make those columns more visible and the differences between remaining bar lengths clear? Histogram showing positive skew of population of URLS 20000 40000 60000 80000 Amount of traffic O a. log O b. Arcsine Ос. square O d. linear # of URLS 001 1500 2000 2500 009
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 2 11.9 8.3 6.8 3.8 2.8 2.2 2.4 0.9 14.1 10.9 9.8 7.3 6.2 6.3 4.5 z- thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85z + 3.99. Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 7.9 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.1 thousand automatic weapons? urse Answer = Round to 3 decimal places. Submit Question ere to search C V B N M 近

The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams55606570758085 Vitamin Ccontent in mg11.614.115.918.920.322.825.5 A) Find the regression equation: y= x+Round your answers to 3 decimal placesB) Answer the following questions using your un-rounded regression equation. If we test 115 grams of raspberries what is the expected Vitamin C content? mg(round to the nearest tenth)
Please help me solve this with a solution thanks! ASAP
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx11.68.46.73.52.72.62.30.7yy1410.99.976.26.35.74.3 xx = thousands of automatic weaponsyy = murders per 100,000 residents This data can be modeled by the equation y=0.87x+3.83.y=0.87x+3.83. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 8.6 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 6.6 thousand automatic weapons?Answer = Round to 3 decimal places.
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.6 6.8 3.7 2.8 2.6 2.6 0.9 14.1 11.5 9.8 6.9 6.6 6.5 6.2 4.6 thousands of automatic weapons y = murders per 100,000 residents %3D This data can be modeled by the equation y = 0.86x + 3.99. Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 7.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 1.9 thousand automatic weapons? Answer = Round to 3 decimal places.
Important note: in part D, calculate the exponential method only
Critical Values of the Pearson Correlation Coefficientr a= 0.05 a= 0.01 NOTE: To test H, p-0 against H,: p#0, reject H, jr the absolute value of r is preater than the critical yalue in the table. 0.950 0.990 0.959 0.917 0.875 5 0.878 6 0.811 0.754 7 0.834 0.798 8 0.707 0.666 0.632 0.602 9 10 0.765 11 0.735 12 0.576 0.708 13 0.553 0.684 0.532 0.514 0.497 0.482 14 0.661 15 0.641 16 0.623 17 18 0.606 0.590 0.468 19 0.456 0.444 0.575 20 0.561 25 0.396 0.505 0.463 30 0.361 35 0.335 0.430 40 0.312 0.402 45 0.294 0.279 0.378 0.361 50 60 0.254 0.330 70 80 0.236 0.305 0.286 0.220 90 0.207 0.196 0.269 100 0.256 a= 0.05 a=0.01
please show calc functions ti-84
1.2. In order to prepare the dataset for modelling, it became clear that RATIO repeats with similar values. The analyst decided to regard them also as categorical variables. Amend the dataset fully in order to build a regression model. Use an ascending order in the coding structure. 1.3. Show the new amended data set and formulate the regression model that must be estimated. Apply all the changes done to the dataset in Question 1.2 and give the regression function. 1.4. The estimated response function is obtained using the coding structure of Question 1.2. Ŷ = 1.34 + 0.034X₁ + 0.049 X₂ -0.041 X3 + 0.029X4 +0.011 X5 +0.08X6. Explain the regression coefficients b₁, b, and b. 1.5. Find the fitted response function for the rotational METHOD of farming on a farm with RATIO of 0.8. 1.6. Refer to Question 1.5. The analyst has a suspicion that there is interaction between the size and the age of the farm if the method of farming is rotational and the field/land ratio is 0.8. Give the response…
For the data set, perform exponential smoothing with alpha = 0.1 to determine the forecast for week 20. week Sales (1000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22 13 31 14 34 15 31 16 33 17 28 18 32 19 30
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 32 6 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) places. Round the coefficients to 4 decimal Hint: Use the variable t from the drop down menu when entering the equation. Do not just type in t. c) Predict the number of polio cases in 2019. d) Find the approximate half-life of the number of polio cases. Round the answer to one decimal place. years

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