2. A producer of outdoor clothing used a focus group to obtain information about the demand forfleece jackets with built-in, battery-operated warming panels. At prices of $100, $90, $80, $70,$60, and $50, the focus group demanded 23, 31, 40, 44, 48, and 60 jackets, respectively.a. Estimate the linear demand function. b. Determine R²C. Determine the standard error and t-statistic for the price coefficient. Is price statisticallysignificantly different from zero at the 0.05 level of significance?

Price (x) Demand (y) 100 23 90 31 80 40 70 44 60 48 50 60

Answered: 2. A producer of outdoor clothing used…

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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Given the following data on the number of pints of ice cream sold at a local ice cream store for a 10-period time frame: Period Demand 1 230 2 220 3 200 4 270 5 300 6 300 7 330 8 340 9 360 10 300 Use a 2-period moving average to forecast demand for period 11 Group of answer choices 350 225 330 335
Can you help with parts g, h, and i please? The Admission director for a college far from mart and town believes that an inverse relationship exists between a private college's average discount rate(determined by the average amount of scholarships students receive) and the annual yield (the percentage of admitted students who actually attend). The Director's independent variable is a private college's discount rate measured as a percentage, and the dependent variable is the college's annual yield measured as a percentage. The following results were obtained for a sample of 30 private colleges: x- Discount rate(percentage) - range: 35 to 72 percent y- Annual Yield(percentage) - range: 12 o 81 percent Σxi = 1612 Σyi = 898Σxiyi = 44,377Σxi2 = 89,790Σyi2 = 35,704 a. Calculate the sample regression line's slope estimate. Interpret the sample regression line's slope estimate.b. Calculate the sample regression line's intercept estimate. Interpret the sample regression line's intercept…
Consider the demand for trading cards as listed below. Month Demand January 48,000 February 40,000 March 56,000 April 64,000 May 76,000 June 74,000 July 78,000 August 93,000 September 98,000 Use Excel to prepare a forecast for October, November, and December using linear regression. Please show the slope and the intercept of the linear regression model. a) The slope is b) The intercept is (round your response to two decimal places). (round your response to two decimal places). c) The forecast demand for October is d) The forecast demand for November is e) The forecast demand for December is (round your response to the nearest integer). (round your response to the nearest integer). (round your response to the nearest integer).
(a) The Marino Company in Ventura County, southern California sells swimming pool equipment. The sales for swimming pool motors in southern California over the last 12 months is given in Table Q4(a). Forecast the demand from March to December of the current year using the following forecasting models. Use excel for the tabulation. (1) Three-month simple moving average; (i)Three-month weighted moving average. Use 0.7, 0.2, and 0.1 for the weights, with 0.7 for the most recent period, and 0.1 for the oldest period. (ii) Simple linear regression; (iv) Determine the MAD, and SE for all the models, and choose which model is most appropriate. Table Q4(a) Marino Company Sales of Swimming pool motors Quantity (units) 11,596 Month January February March 14,438 16,861 10,002 April May 15,106 June 17,941 July August September October 11,877 14,290 17,363 12,430 14,858 November December 16,833
Question 6: Figure 21.3 shows various types of national health insurance systems. (a) Compare the total expenditures in panels A and B. Which set of expenditures is larger? What determines which will be larger? Why? (b) Compare the total expenditures in panels B and C. Which set of expenditures is larger? In which are resource costs larger? Why? (c) If the demand curves truly reflect consumer preferences, which of the three panels is economically efficient? Show the economic losses and the transfers for those panels that are not economically efficient.
Yaster Breakfast Supplies is planning to manufacture and market a new toaster. After conducting extensive market surveys, the research department provides the following estimates: • a weekly demand of 318 at a price of $13 per toaster • a weekly demand of 201 at a price of $16 per toaster The financial department estimates that weekly fixed costs will be $1,399 and variable costs (cost per unit) will be $3. Assume: • the relationship between price and demand is linear • the cost function in linear Use your models to predict the marginal profit when Yaster is producing and selling 271 toasters per week. Round to the nearest cent. $ per toaster
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A company produces a special new type of TV. The company has fixed costs of $492,000, and it costs $1000 to produce each TV. The company projects that if it charges a price of $2300 for the TV, it will be able to sell 750 TVs. If the company wants to sell 800 TVs, however, it must lower the price to $2000. Assume a linear demand. How many TVs must the company sell to earn $1,925,000 in revenue? It needs to sell enter your response here TVs. (Round answer to nearest integer. If more than one answer, separate with a comma.)

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