Situation: The Ipod Touch has been out for two yearsnow and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of anIPod Touch,p and Weekly Demand,s.Below is a table of data that have been collectedPrice,p,($) Weekly Demand, s,(1,000s)150170190210230250A.. Find the linear model that best fits this data usingregression and enter the model below211205196186182168(for entry round the linear parameter value to nearest0.01 and constant parameter to nearest 1)S = T(p)=B. The squared correlation coefficient r² wasSelect an answer 0.95(note: values less than 0.95 MAY mean the model isnot appropriate for making predictions)Now answer these two questions using theUNROUNDED model parametersC. What does the model predict will be the weeklydemand if the price of an ipod touch is $231 ?(nearest 100)D. According to the model at what should the price beset in order to have a weekly demand of 247,200 ipodTouches? $(nearest $1)Note: In the "real" world Apple sold about 20 millionIpod Touch's from Sept. 2007-Sept. 2009 Answer

Given information: Price, p, ($) Weekly Demand, s, (1000s) 150 211 170 205 190 196 210…

Answered: Situation: The Ipod Touch has been out…

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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Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year. Year Number of Patients Robbery Rate per 1,000 Population The simple linear regression equation that shows the best relationship between the number of patients and the robbery rate is (round your responses to three decimal places) where y Number of Patients and x = Robbery Rate. = 1 2 3 4 6 7 36 33 40 41 55 60 58.3 61.1 73.4 75.7 81.1 89.0 101.1 5 40 8 54 94.8 9 58 103.3 10 61 116.2
Please help
The table describes weekly usage of an appliance is proportional to its Maintenance expense, is that correct? Use regression model to discuss your answer.
Answer d,e and f
Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,� and Weekly Demand,�.Below is a table of data that have been collected Price,�,($) Weekly Demand,�,(1,000s) 150 207 170 199 190 198 210 185 230 181 250 169 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)�=�(�)= B. The squared correlation coefficient �2 was 0.95(note: values less than 0.95 MAY mean the model is not appropriate for making predictions)Now answer these two questions using the UNROUNDED model parametersC. What does the model predict will be the weekly demand if the price of an ipod touch is $184 ? (nearest 100)D. According to the model at what should the price be set in order to have a weekly demand of 176,200 ipod Touches? $…
Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,p and Weekly Demand,s.Below is a table of data that have been collected Price,p ,($) Weekly Demand,s ,(1,000s) 150 209 170 205 190 200 210 192 230 177 250 175 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)s=T(p)= C. What does the model predict will be the weekly demand if the price of an ipod touch is $172 ? (nearest 100) can you answer these two questions
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
Give me an example How Efficient are Regression analysis for Estimating Costs?
The managing director of a consulting group has the accompanying monthly data on total overhead costs and professional labor hours to bill to clients. Complete parts a through c Click the icon to view the monthly data. a. Develop a simple linear regression model between billable hours and overhead costs. Overhead Costs = 247733.3 +(43.2000) x Billable Hours (Round the constant to one decimal place as needed. Round the coefficient to four decimal places as needed. Do not include the $ symbol in your answers.) b. Interpret the coefficients of your regression model. Specifically, what does the fixed component of the model mean to the consulting firm? Interpret the fixed term, bo. if appropriate. Choose the correct answer below. OA. The value of by is the predicted overhead costs for 0 billable hours. OB. For each increase of 1 unit in overhead costs, the predicted billable hours are estimated to increase by bo OC. It is not appropriate to interpret by. because its value is the predicted…
Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,� and Weekly Demand,�.Below is a table of data that have been collected Price,�,($) Weekly Demand,�,(1,000s) 150 217 170 206 190 191 210 185 230 182 250 170 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)�=�(�)= B. The squared correlation coefficient �2 was 0.95(note: values less than 0.95 MAY mean the model is not appropriate for making predictions)Now answer these two questions using the UNROUNDED model parametersC. What does the model predict will be the weekly demand if the price of an ipod touch is $219 ? (nearest 100)D. According to the model at what should the price be set in order to have a weekly demand of 171,300 ipod Touches? $…
Q1) A real estate consultant is considering developing a series of price models for residential houses in different areas of the province of Ontario, in Canada. The dataset, provided by the Windsor and Essex County Board, covers residential home sales in Windsor. To develop the model, the consultant performs a linear regression to estimate the price (in Canadian dollars) as a linear function of the size of the apartment (in square feet) and obtains the following Excel result. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.53580413 0.28708607 0.28577556 41101.9362 546 ANOVA df MS Significance F 1 3.70082E+11 3.7008E+11 219.065461 6.74643E-42 Regression Residual Total 544 9.19017E+11 1689369158 545 1.2891E+12 Coefficients Standard Error 62171.5874 4537.036582 13.7031268 6.2969E-37 53259.33066 71083.8441 t Stat P-value Lower 95% Upper 95% Intercept LOTSIZE 12.0187669 0.81203165 14.8008601 6.7464E-42 10.42366523 13.6138685 a) Write…
Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.Relevant Relationship:There is a functional relationship between Price of an IPod Touch,pp and Weekly Demand,ss.Below is a table of data that have been collected Price,pp,($) Weekly Demand,ss,(1,000s) 150 216 170 208 190 198 210 190 230 180 250 173 A.. Find the linear model that best fits this data using regression and enter the model below(for entry round the linear parameter value to nearest 0.01 and constant parameter to nearest 1)s=T(p)=s=T(p)= B. The squared correlation coefficient r2r2 was 0.95(note: values less than 0.95 MAY mean the model is not appropriate for making predictions)Now answer these two questions using the UNROUNDED model parametersC. What does the model predict will be the weekly demand if the price of an ipod touch is $196 ? (nearest 100) *** Use the actual equation from the regression calculator ***D. According to the model at what should the…

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