Fit simple linear regression model by ordinary least square

Assignment Help Basic Statistics

Reference no: EM131093781

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{b_o} 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?

Reference no: EM131093781

Questions Cloud

Explain applicability of the message in theological context : Write an essay of 1,000-1,250 words in which you provide your analysis of the message of the prophets Isaiah and Jeremiah through historical, literary, and theological contexts. Explain how the message of Isaiah and Jeremiah is or is not relevant ..

Test whether any positive autocorrelation remains : a. Use the Hildreth-Lu procedure to obtain a point estimate of the autocorrelation parameter. Do a search at the values ρ = .1, .2, ... ,1.0 and select from these the value of ρ that minimizes SSE.

Advantages and limitations of palmtop or handheld computers : What are the advantages and limitations of palmtop or handheld computers (including smartphones)? Do you have one? If so, for what do you use it? If not, what features would be particularly attractive to you?

Point estimate of the autocorrelation parameter : Refer to Microcomputer components Problem 12.9. The analyst has decided to employ regression model (12.1) and use the Cochrane-orcutt procedure to fit the model.

Fit simple linear regression model by ordinary least square : 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) an..

Mobile is the future of everything : Forbes magazine claims that "Mobile is the future of everything." In your discussion post, summarize what you think is meant by this statement. In addition, explain whether you agree or disagree with the statement.

Strengths and weaknesses of the major mobile platforms : What are the strengths and weaknesses of the major mobile platforms (Android, iOS, Microsoft)? In your discussion forum post, start by comparing and contrasting these platforms (for example, one may have a more stable OS, while one may provide a b..

Advantages and the disadvantages of iaas solutions : Describe the advantages and the disadvantages of IaaS solutions. Define and describe load balancing. Discuss how you might use IaaS to implement load balancing.

An agronomist studied the effects of moisture : Refer to Crop yield Problem 11.25. The observations are listed in time order. Assume that regression model (12.2) with first- and second-order terms for the two predictor variables and no interaction term is appropriate.

User Account

All Pages