11.27BA firm that prints automobile bumper stickers conducts a study to investigate the relationbetween the direct cost of producing an order of bumper stickers (TOTCOST) and the numberof stickers (RunSize, in 1,000s of stickers) in a particular order. The data are given in thefollowing table.2.04.0RunSizeTOTCOST 2302.6 5.0 10.0.8341 629 187 1596 0.8 1.0327 206 124155 1472.5RunSizeTOTCOST 209 2472.0 3.05 5.0 20.0135 125 366 1,1465.0 2.01.0 1.5339 208 150 179.4RunSizeTOTCOST 128 155 143 131 2195 1.01.0.62.01.53.0 6.5 2.2 1.0258 415 226 159C. Estimate the residual standard deviation.d. Construct a 95% confidence interval for the true slopee. What are the interpretations of the intercept and slope in this study?

Solution:c.Residual standard deviation:The residual standard deviation is the standard deviation of…

Answered: 11.27 B A firm that prints automobile…

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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Mr. James, president of Daniel-James Financial Services, believes that there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, he gathered the following information from a sample of clients for the last month. Let X represent the number of times that the client was contacted and Y represent the valye of sales ($1000) for each client sampled. Number of Contacts (X) Sales ($1000) 14 24 12 14 20 28 16 30 23 30 c) James would like to require 30 client contacts per month. Based upon the above data, predict what the monthly sales would be for this number of client contacts. What would be your advice to Mr. James about his proposed policy?
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied. Day Revenue Occupied Day Revenue Occupied 1 $ 1,452 23 14 $ 1,425 27 2 1,361 47 15 1,445 34 3 1,426 21 16 1,439 15 4 1,470 39 17 1,348 19 5 1,456 37 18 1,450 38 6 1,430 29 19 1,431 44 7 1,354 23 20 1,446 47 8 1,442 44 21 1,485 43 9 1,394 45 22 1,405 38 10 1,459 16 23 1,461 51 11 1,399 30 24 1,490 61 12 1,458 42 25 1,426 39 13 1,537 54 Click here for the Excel Data File Choose the…
Suppose the marketing research firm would like to examine if the social networking site that a person primarily uses is influenced by his or her age. In a randomly drawn sample, 369 social network users were asked which site they primarily visited. At the 0.05 level of significance, can we conclude that the two variables are related? These data are presented in the following table along with each person’s age group: Age (Years) Facebook Twitter LinkedIn 10-17 7 22 0 18-34 44 54 25 35-54 40 38 44 55 and older 26 38 31 a. What test should you run? b. Select the correct hypothesis statements. H0: H1: c. Compute the value of the test statistic? (Round your answer to 2 decimal places. Negative values should have a minus sign in front of them) d. Determine the p-value (Round your final answer to 4 decimal places.) e. What is your decision regarding the null hypothesis? multiple choice Fail to reject the null. Reject the…
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied. Day Revenue Occupied Day Revenue Occupied 1 $ 1,452 33 14 $ 1,425 33 2 1,361 29 15 1,445 30 3 1,426 31 16 1,439 29 4 1,470 34 17 1,348 28 5 1,456 33 18 1,450 32 6 1,430 33 19 1,431 31 7 1,354 30 20 1,446 29 8 1,442 33 21 1,485 31 9 1,394 33 22 1,405 29 10 1,459 30 23 1,461 30 11 1,399 31 24 1,490 30 12 1,458 31 25 1,426 33 13 1,537 33
Consider the following datax -5 -4 -3 -2 -1 0 1 2 3 4 5Y - 125 - 64 - 27 -8 -1 0 1 8 27 64 125a. Calculate the correlation between x and y, and perform a hypothesis test to determine if the correlation is significantly greater than zero. Use a significance level of 5%.b. Are you willing to conclude that there is a strong linear association between the two variables? Use at least one graph to support your answer, and to explain why or why not.
The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Age Group Knowledge Level Total poor satisfactory good 18-25 33 16 13 62 26-34 30 18 12 60 35-44 29 14 12 55 45-54 36 16 18 70 55-75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested:H0:H1: Calculate:(ii) state the degrees of freedom for this test (iii) the p-value for this test, given that the chi-square test statistic, chi-squared , is 11.029. (iv) state the conclusion for the test. Give reason for your answer.
A researcher is interested in testing the relationship between smoking and BMI (kg/m2) in adults aged 30-45. In order to test this association, the researcher divides smoking into currently more than a pack a day, currently less than a pack a day, and never smokers. The following table represents the BMIs for each participant enrolled by their respective smoking category. Current Smoker (≥1pack/day) Current Smoker (<1 pack/day Never Smoked 26.7 29.4 22.1 29.4 28.6 30.4 24.3 27.4 21.3 28.4 23.2 26.4 21.6 20.1 19.7 27.4 20.6 19.8 26.8 19.7 21.6 36.4 19.6 22.3 31.5 21.6 24.3 27.4 21.5 *Continue as though all assumptions for ANOVA are met. A) Calculate the MSW and MSB for the data represented above. B) Carry out a formal test for a one-way analysis of variance among the groups and interpret your results.
MR In Dave Eggers’ novel The Circle, a mysteri-ous technology company has developed a strangely data-driven work environment in which employees are assigned a performance score that seems to be the product of factors in their social activities and environment, such as the extent of their engagement in work community and the number of times they post on the company’s social media site. Using the fictional data below, compute r and r2 for each com-bination of two variables from this novel and test the correlations for their significance. Write a paragraph interpreting the relationships between these vari-ables, and what they might mean for the company
1) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs: Number of Hours Playing Video Games(per week)= 42 GPA= 0.2Number of Hours Playing Video Games(per week)= 38 GPA= 0.9Number of Hours Playing Video Games(per week) = 32 GPA= 1.0Number of Hours Playing Video Games(per week) = 26 GPA = 1.1Number of Hours Playing Video Games(per week) = 23 GPA= 1.2Number of Hours Playing Video Games(per week) = 19 GPA= 2.5Number of Hours Playing Video Games(per week) = 15 GPA = 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation.b) What kind of correlation is this?c) Is this more of a linear or exponential model? Why?d) Predict the standard GPA if a student spends one hour a week playing videogames.
Is there a relation between murder and arson? A random sample of 15 Midwest cities (over 10,000 population) gave the following information about an annual number of murder and arson cases. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.) City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Murder 13 11 24 15 14 10 19 20 22 16 18 6 21 8 17 Arson 96 47 92 72 38 36 162 80 111 85 84 37 146 4 51 Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of murder and arson. (a) Rank-order murder using 1 as the largest data value. Also, rank-order arson using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test. City MurderRank x ArsonRank y d = x - y d2 123456789101112131415 Σd2 = please show formula or steps explain your answer
(a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested: H0: H1: Calculate: (ii) state the degrees of freedom for this test (iii)…
a) The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 Age Group Knowledge Level Total Poor Satisfactory Good 18 - 25 33 16 13 62 26 - 34 30 18 12 60 35 - 44 29 14 12 55 45 - 54 36 16 18 70 55 - 75 17 14 22 53 Total 145 78 77 300 Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. (i) State the hypotheses to be tested: H0: H1: Calculate: (ii) state the degrees of freedom for this test (iii)…

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