The data referred to in this question were collected from several sales districts across the country.The data represent sales for a maker of asphalt roofing shingles. Information on the followingvariables is available:SalesSales from last year in thousands of squaresExpendituresPromotional expenditures in thousands of dollarsAccountsNumber of active accountsCompeting BrandsNumber of competing brands producing equivalent or similar productsDistrict PotentialA coded indicator of the potential of the district(higher score = better potential)Partial SPSS regression output of a multiple regression model with sales as the response variableand the other four variables as predictor variables is given below:ANOVASum ofModelSquaresdfMean SquareFSig.Regression176777.1444194.265479.099.000Residual1937.1372192.245Total178714.225CoefficientsUnstandardizedStandardizedCoefficientsCoefficientsModelStd. ErrorBetatSig.(Constant)Promotional Expenditures1178.32012.96013.759.000001.8071.0810391.672.10944Number of Active Accounts3.318163.55820.368.00000Number of Competing Brands-21.185.788-647-26.887.00000District Potential.325468018.69449544M Notifications91M InboxCalendarTo Do 9. Which of the four explanatory variables seems to be the least significant in the model?A) ExpendituresCompeting BrandsDistrict PotentialC)B) AccountsD)10. What is a 95% confidence interval for the coefficient of promotional expenditures?A) (-0.441, 4.055)C)(-0.053, 3.667)B) (-0.312, 3.926)11. An F test for the two coefficients of promotional expenditures and district potential isperformed. The hypotheses are: H: 0 = 0= 0 versus H: at least one of the is not 0.The F statistic for this test is 1.482 with 2 and 21 degrees of freedom. What can we sayabout the P-value for this test?D)(0.726, 2.888)0.05 0.1091M InboxCalendarTo DoNotifications

Name: The data referred to in this question were collected from several sal
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: The data referred to in this question were collected from several sales districts across the country.The data represent sales for a maker of asphalt roofing shingles. Information on the followingvariables is available:SalesSales from last year in th

Decision rule : Higher p value indicates that (independent or explanatory) variable is to be least…

Math

Statistics

9. Which of the four explanatory variables seems to be the least significant in the model? A) Expenditures Competing Brands District Potential C) B) Accounts D) 10. What is a 95% confidence interval for the coefficient of promotional expenditures? A) (-0.441, 4.055) B) (-0.312, 3.926) 11. An F test for the two coefficients of promotional expenditures and district potential is performed. The hypotheses are: H: 0, = 0.= 0 versus H: at least one of the is not 0. The F statistic for this test is 1.482 with 2 and 21 degrees of freedom. What can we say C) (-0.053, 3.667) D) (0.726, 2.888) about the P-value for this test? 0.05< P-value <0.10 D) P-value >0.10 A) P-value <0.025 C) B) 0.025 < P-value < 0.05

9. Which of the four explanatory variables seems to be the least significant in the model? A) Expenditures Competing Brands District Potential C) B) Accounts D) 10. What is a 95% confidence interval for the coefficient of promotional expenditures? A) (-0.441, 4.055) B) (-0.312, 3.926) 11. An F test for the two coefficients of promotional expenditures and district potential is performed. The hypotheses are: H: 0, = 0.= 0 versus H: at least one of the is not 0. The F statistic for this test is 1.482 with 2 and 21 degrees of freedom. What can we say C) (-0.053, 3.667) D) (0.726, 2.888) about the P-value for this test? 0.05< P-value <0.10 D) P-value >0.10 A) P-value <0.025 C) B) 0.025 < P-value < 0.05

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Listed below are student evaluation of female professions and male professors. Use a 0.05 significance level to test the claim that female professors and male professors have the same mean evaluations ratings. P-value: 0.758
For the folllwing two questions state the response variable and the explanatory variable 1.Is there a relationship between the final rating given by the customer and the number of exchanges during the conversation? If so, which of the exchange categories have significantly different mean ratings? 2. It is thought that having a relatively consistent length of message in any given conversation indicates a pattern of helpful, well-balanced communication. In fact, some new research suggests that to ensure a productive conversation the maximum message length should be no more than 8 words greater than the minimum message length in any conversation. Test whether the conversations in the sample meet the criteria suggested by this research study.
A survey claims that 9 out of 10 doctors recommend brand Wfor their patients who have children. To test this claim against the alternative that the actual proportion of doctors who recommend brand Wis less than 90%, a random sample of 100 doctors results in 85 who indicate that they recommend brand W. 1. What decision should you makeusing a significance level of 5%? 2. Summarize your conclusions in the context of the problem.
Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal)) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10. Male Subject ID Education Female Subject ID Education 1 14 13 14 2 15 14 15 3 17 15 18 4 13 16 18 5 15 17 16 6 15 18 17 7 13 19 16 8 15 20 16 9 15 21 17 10 16 22 15 11 17…
The data below comes from a university that wanted to see if there was a relationship between High School GPA and College GPA. For each hypothesis test, provide the claim, critical values, test statistic and conclusion.1) Using a 95% level of confidence, test the claim High School GPA’s have a mean of 3.0.2) Using a 95% level of confidence, test the claim College GPA’s have a mean of 3.0.3) Using a 95% level of confidence, test the claim that the majority of students have at least a 3.0 GPA in High School. High School College GPAGPA3.88 3.713.20 2.982.88 2.713.95 3.744.1 4.03.9 3.813.4 3.332.77 2.643.55 3.363.45 3.353.05 2.973.94 3.83.65…
2) Researchers are interested in whether there is any relationship between a person's IQ (x- variable) and how long they live (y-variable). Answer the questions below by using the data provided. Show your work and use the back of the page if necessary. X Y 10 3 6. 6. 7 4 3 4 a) What type of statistical analysis would be most appropriate to use in this scenario? Please justify your answer. b) Please state the null and alternative hypotheses. c) Please report the results of your statistical analyses and make a decision about whether to reject or fail to reject the null hypothesis Use alpha = .05 (two-tailed). %3D
8. A confidence interval for estimating the mean An industrial/organizational psychologist wants to improve worker productivity for a client firm, but first he needs to gain a better understanding of the life of the typical white-collar professional. Fortunately, he has access to the 2008 Workplace Productivity Survey, commissioned by LexisNexis and prepared by WorldOne Research, which surveyed a sample of 650 white-collar professionals (250 legal professionals and 400 other professionals). One of the survey questions was, “How many work-related emails do you receive during a typical workday?” For the subsample of legal professionals (n = 250), the mean response was M = 36.7 emails, with a sample standard deviation of s = 23.8 emails. The estimated standard error is sMM? = A-0.085, B-1.341, C-0.095 or D-1.505 (choices to choose from.) . Use the following Distributions tool to develop a 90% confidence interval estimate of the mean number of work-related emails legal…
help
The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 54 records of automobile driver fatalities in a certain county showed that 37 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use ? = 0.10. (a) What is the level of significance? (b) What is the value of the sample test statistic? (Round your answer to two decimal places.) c) Find the P-value of the test statistic. (Round your answer to four decimal places.)