.. Represent the following data or details of cost of two commoditiesby therectangular diagram.DetailsСоmmodity AСommodity BPriceperunitRs. 5Rs. 4Quantity soldValues of raw materials40 units30 unitsRs. 52Rs. 50Other expenses of populationRs. 64Rs. 60ProfitsRs. 44Rs. 40111-I

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Answered: T.1. Represent the following data or…

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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I have collected real data on the sale of a microwavable cup of soup across 20 different cities for the same time period (a month). The variables in the dataset are: Quantity sold in the city for that month: Measured in thousands of units Price: measured in dollars Average Income in the city: Measured in thousands of dollars Ads: Average number of ads run in stores for that city during that month. Price of a substitute product: measured in dollars Population of the city: measured in thousands of people The dataset is on Canvas and, using Excel or any other statistical software, please answer the following questions: 1. Describe the patterns in quantity sold and own and rival prices during this time period using basic descriptive statistics. Graphs are welcome as well. 2. Take the logs of the variables, and estimate the demand function. a. Interpret the R-square. b. Interpret the coefficients for logP and logPsub c. Interpret the p-values associated with each independent…
1. Instruction: For each of the following variables, indicate whether it is qualitative or quantitative. For quantitative variables, further categorize them into the discrete or continuous type. (a) Gender (b) Hospital bed capacity. (c) Blood glucose level (in mg/100 mL) (d) Systolic blood pressure (e) Height (in centimeter) (f) Blood type (g) Per capita income (h) Household size (i) Mid-upper arm circumference (in centimeter) () Region (k) Pulse rate (I) Civil status
DATA file Autoinsurance 20. Assignment 3 The average annual premium for automobile insurance in the United States is $1503 (Insure.com website, March 6, 2014). The following annual premiums ($) are representa- tive of the website's findings for the state of Michigan. 1905 2725 2677 2600 2962 2184 2332 3112 2545 2525 2370 2545 2529 2442 2312 2981 2627 2857 2675 2115 Assume the population is approximately normal. a. Provide a point estimate of the mean annual automobile insurance premium in Michigan. b. Develop a 95% confidence interval for the mean annual automobile insurance pre- mium in Michigan. C. Does the 95% confidence interval for the annual automobile insurance premium in Michigan include the national average for the United States? What is your interpreta- tion of the relationship between auto insurance premiums in Michigan and the national average?
26 14 30 45 20 21 27 32 40 Age of residents in a neighbourhood 50 9 37 40 36 13 52 10 35 12 36 57 28 51 47 48 42 42 52 1 53 Create a box-and-whisker plot for the data. If you use technology copy and paste the graph into your solutions document. If you prepare it by hand use a ruler and take a clear, well-lit photograph or scan and insert it as an image into your document.
1. The information in the following table shows the amount of sales and the profit from a small retail business in Whitby Ontario for the last 15 years. The years have not been provided as you will only need the amounts. Sales ($) (thousands) Profit ($) (thousands) 195 10 205 15 225 22 240 -10 255 25 300 39 265 24 345 55 295 32 335 37 380 48 405 55 355 50 390 48 410 55 a) Create a scatter plot of the data. Identify any outliers, if they occur. b) Sketch the line of best fit and determine its equation. A c) Describe any correlation you see between the variables. What conclusion could someone make based on the scatter plot? ( d) Identify whether you would use interpolation or extrapolation to predict the profit for the sales amount $500,000 and $230,000. e) Predict the profit for the sales amount $500,000 and $230,000.
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Breakfast cereals We saw in Chapter 7 that the calorie con-tent of a breakfast cereal is linearly associated with its sugar content. Is that the whole story? Here’s the output of aregression model that regresses Calories for each serving onits Protein(g), Fat(g), Fiber(g), Carbohydrate(g), andSugars(g) content.Dependent variable is CaloriesR-squared = 84.5, R-squared (adjusted) = 83.4,s = 7.947 with 77 - 6 = 71 degrees of freedomSource Sum ofSquares dfMeanSquare F-RatioRegression 24367.5 5 4873.50 77.2Residual 4484.45 71 63.1613Variable Coefficient SE(Coeff) t-Ratio P-ValueIntercept 20.2454 5.984 3.38 0.0012Protein 5.69540 1.072 5.32 60.0001Fat 8.35958 1.033 8.09 60.0001Fiber -1.02018 0.4835 -2.11 0.0384Carbo 2.93570 0.2601 11.3 60.0001Sugars 3.31849 0.2501 13.3 60.0001Assuming that the conditions for multiple regressionare met,a) What is the regression equation?b) Do you think this model would do a reasonably goodjob at predicting calories? Explain.c) To check the conditions, what…
In agricultural economics, a “supply response function” describes how supply of a commodity responds to changes in the price of that commodity. (production is the dependent variable,Independent variable: Price) Dataset: Year Seeded Area (hectares) Harvested Area (hectares) Average Yield (kg per ha) Production (tonnes) Price per Tonne ($/tonne) 1966 1,317,000 1,317,000 1,630 2,150,000 65 1967 1,424,000 1,424,000 1,720 2,449,000 60 1968 1,376,000 1,376,000 1,800 2,477,000 48 1969 1,012,000 1,012,000 1,720 1,742,000 46 1970 567,000 567,000 1,465 830,000 52 1971 1,019,000 1,019,000 1,975 2,014,000 50 1972 1,052,000 1,052,000 1,785 1,878,000 68 1973 1,214,000 1,214,000 1,725 2,095,000 158 1974 1,133,000 1,133,000 1,415 1,605,000 147 1975 1,255,000 1,255,000 1,690 2,123,000 130 1976 1,538,000 1,538,000 1,820 2,803,000 103…
A biscuit production manager wants to investigate the linear relationship between the number of items produced and the production cost. To pursue his/her objective, the manager recorded the data on the number of items produced per day and the production cost per day (in thousands of Malaysian Ringgit) as shown in Table 3 Table 3 Days 1 2 4 6. 7 8 10 11 Number of items, (x) 26 67 86 17 10 44 53 40 77 80 20 20 Production cost, (y) 21 60 69 47 50 | 98 39 55 85 104 37 20 a) Name the TWo (2) most popular correlation coefficients. OPearson Oz-table OT-table Ochi-square Ospearman b) Calculate the correlation coefficient, r. ху x2 y2 26 21 676 44 60 2640 1936 3600 53 69 3657 2809 4761 47 1880 2209 77 50 3850 5929 2500 80 98 7840 6400 9604 20 39 780 400 1521 20 55 1100 400 3025 67 5695 4489 7225 86 104 8944 7396 10816 17 37 629 289 1369 10 20 200 100 400 E y² = Σχ ΣΥ- Σχy- Ex? = || || **Answer should be up to 4 decimal place (dp) r = c) Based on the correlation coefficient, robtained, make a…
I need expert advice please especially with the graph. The table below shows monthly data collected on production costs and on the number of units produced over a twelve month period. Month Total Production Costs Level of Activity(Units Produced) July $230,000 3,500August 250,000 3,750September 260,000 3,800October 220,000 3,400November 340,000 5,800December 330,000 5,500January 200,000 2,900February 210,000 3,300March 240,000…
97000 96000 95000 94000 93000 92000 91000 90000 89000 1000 Revenue vs TV Advertise 2000 3000 4000 5000 6000 97000 96000 95000 94000 93000 92000 91000 90000 89000 Revenue vs Print Advertise 1000 1500 2000 2500 3000 3500 4000 4500 Given above are the plots between weekly gross revenues and TV advertising and between weekly gross revenues and TV advertising for Showtime Movie Theaters. Which advertising (TV or Print) has a stronger relationship with the weekly gross revenues? O A. Print Advertising has stronger relationship with the weekly gross revenue. B. We cannot tell without calculating the related correlation coefficients. O C. TV Advertising has stronger relationship with the weekly gross revenue. O D. The strength of the relationships is the same for both advertising.

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T.1. Represent the following data or details of cost of two commodities 7. by therectangular diagram. Details Commodity A Commodity B Price per unit Quantity sold Values of raw materials Rs. 4 Rs. 5 40 units 30 units Rs. 52 Rs. 50 Other expenses of population Rs. 64 Rs. 60 Profits Rs. 44 Rs. 40