EBK BASIC BUSINESS STATISTICS
EBK BASIC BUSINESS STATISTICS
14th Edition
ISBN: 9780134685168
Author: STEPHAN
Publisher: YUZU
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Chapter 15, Problem 12PS

Using the data of Problem 15.6 on page 601, stored in HondaPrices, Perform a natural logarithm transformation of the dependent variables (prices). Using the transformed dependent variable and the age as the independent variables, perform a regression analysis.

a. State the regression equation.

b. Predict the mean price for a five-year-old Honda Civic LX.

c. Perform a residual analysis of the results and determine whether the regression assumptions are valid.

d. At The 0.05 level of significance, is there a significant relationship between the natural logarithm of price and age?

e. Interpret the meaning of the coefficient of determination. r 2 , in this problem.

f. Compare the adjusted r 2 .

g. Compare your results with those in Problem 15.6. Which model is better? Why?

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Midgett Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff suggested that linear regression be employed to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis are as follows:   Month MaintenanceCost   Machine Hours Jan. $ 5,040       620   Feb.   3,648       420   Mar.   4,320       520   Apr.   3,331       390   May   5,221       650   June   3,550       400   July   3,655       430   Aug.   5,365       690   Sept.   5,110       640   Oct.   4,866       610   Nov.   3,944       460   Dec.   3,790       440   Sum $ 51,840       6,270   Average $ 4,320.00       522.50       Average cost per hour ($51,840/6,270) = $8.27 (rounded to the nearest cent)r = 0.99821r2 = 0.99780The percent of the total variance that can be…
Find the y-intercept of the equation of the regression line for the following data: Consumer Price Index (X) 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza(Y) 0.15 0.35 1.00 1.25 1.75 2.00
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…

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EBK BASIC BUSINESS STATISTICS

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