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Microcomputer components. A staff analyst for a manufacturer of microcomputer components has compiled monthly data for the past 16 months on the value of industry production of processing units that use these components (X, in million dollars) and the value of the firm's components used (Y. in thousand dollars). The analyst believes that a simple linear regression relation is appropriate but anticipates positive autocorrelation. The data follow:
a. Fit a simple linear regression model by ordinary least squares and obtain the residuals. Also obtain s{bo} and s{b1}.
b. Plot the residuals against time and explain whether you find any evidence of positive autocorrelation.
c. Conduct a formal test for positive autocorrelation using α = .05. State the alternatives, decision rule, and conclusion. Is the residual analysis in part (b) in accord with the test result?
Why is a factorial MANOVA appropriate to use for this research design?
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What is the temperature of the interior enclosure wall? If the interior surface is maintained at this temperature, but is now polished, what will be the value of the radiant power emitted from the opening?
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the accompanying data resulted from an investigation of the relationship between temperature and viscosity for
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Roper ASW conducted a survey to learn about American adults' attitudes toward money and happiness. 56% of respondents said they balance their checkbook at least once a month.
Fitting of simple linear regression equation - Given the student population for a school district over the past few years, find the prediction equation for this data.
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