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Unformatted text preview: DSC 330 HW3
Due May 16th in class 1. Textbook 4.18 ( = 5%) (There is a typo in question (b). The null hypothesis should
be 0 : 1 = ... = 4 = 0.) 2. Textbook 4.20
3. The following two models are used to analyze a sample of size
= + 11 +, ∼ =
2 0
0 + 11 + 2 = 0.50 and ˆ = 5 for model (1). 22 2 (0, = 10. ) +, ∼ (1)
(0, 2 ) (2) = 0.72 for model (2). (a) Construct ANOVA tables for the above two models, respectively.
(b) Check model utility by doing Ftests at = 5% for the above two models, respectively.
2 (c) Calculate the adjusted for the above two models, respectively. (d) Compare the above two models by doing an Ftest at = 5%. Which one will you recommend?
2 (e) The following model is used to analyze the given data and
= 0 + 11 + Check the utility of model (3) at 22 + 33 +, ∼ = 5% and calculate (f) Compare (1) with (3) by doing an Ftest at (0, = 0.8.
2 ) (3) 2. = 5%. Which one will you recommend?
4. Answer the following questions based on the dataset “Clock”, which can be downloaded from blackboard. (Note: Print out SPSS outputs and attach them with you
homework.)
(a) Construct a scatterplot matrix using SPSS.
(b) Fit the multiple linear regression model
(the deﬁnitions of , 1 and 2 = 0 + 11 + 22 + using SPSS refer to textbook Page 173) and write down the ﬁtted regression model.
1 (c) Test whether the eﬀect of 1 (Age) on is positive at SPSS output.
(d) Construct 99% CI’s for 1 based on the SPSS output. (e) Construct 99% CI’s for 2 based on the SPSS output. 2 = 1% based on the ...
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 Spring '08
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