# UNIT 7 DATA ANALYSIS AND APPLICATION

This ordinance conquer acceleration you recognize right announceing and exposition of multiple retirement. You conquer use the IBM SPSS Linear Retirement process to accurately estimate a multiple retirement delay the u07a1data.sav rasp located under in Resources. Use the Basis Segregation and Application (DAA) Template located in Resources to transcribe up your ordinance. The deadline for submitting your production is 11:59 PM CST on Sunday of Week 7.

Step 1. Transcribe Exception 1 of the DAA. Get a composition of the u07a1data.sav basis set. Specifically, suppose that you are a heartiness scrutinyer studying how well-mannered-mannered a appraise of trouble ( X1) and importance ( X2) prognosticate systolic dignity urgency ( YIn Exception 1 of the DAA, clear your prognosticateor mutables, the termination mutable, and the scales of appraisement for each mutable. Specify the case extent of the basis set.

Step 2. Transcribe Exception 2 of the DAA. Touchstone the four impudences of multiple retirement. Begin delay SPSS output of the three histograms on X1X 2, and and get visual expositions of normality. Next, paste the SPSS output of the plant batch matrix and expound it in stipulations of linearity and bivariate outliers. Next, paste SPSS output of the zero-order interdependences (Pearson r) and expound it to control the multicollinearity impudence. Note: to touchstone this impudence in SPSS, use Analyze… Correlate… Bivariate Correlations to produce a two-tailed touchstone; do not use the want one-tailed touchstone output from the Linear Retirement process. Finally, paste the SPSS batch of testized residuals (ZPRED = x-axis; ZRESID = y-axis) and expound it to control the homoscedasticity impudence.

Step 3. Transcribe Exception 3 of the DAA. Specify a scrutiny topic for the overall retirement example. Clear a trifling theory and resource theory for the overall retirement example. Specify a scrutiny topic for each prognosticateor. Clear the trifling theory and resource theory for each prognosticateor. Specify the alpha smooth.

Step 4. Transcribe Exception 4 of the DAA. Begin delay a brief assertion reviewing impudences. Next, paste the SPSS output for the Example Summary. Report and R2; expound R2 chattels extent. Next, paste the SPSS ANOVA output. Announce the F touchstone for R and expound it across the trifling theory. Next, paste the SPSS Coefficients output. For each prognosticateor, announce the b coefficient, the t touchstone results, including exposition across the trifling theory, the semipartial squared interdependence chattels extent, and the exposition of chattels extent. In your Exposition exception, subjoined Consultation 11.1 on page 460 of your Warner passage, produce a consultation of Results for the u07a1data.sav rasp that summarizes:

· The resources and test deviations of each muconsultation in the retirement equation.

· The zero-order (Pearson r) interdependences inchoate mutables.

· The y-intercept.

· The coefficients of each prognosticateor delay notation of calculated p-values for rejecting the trifling theory.

· The β coefficients of each prognosticateor.

· The squared semipartial interdependences of each prognosticateor.

· The values of RR2, and adjusted R2 delay notation of p-values for rejecting the trifling theory.

Step 5. Transcribe Exception 5 of the DAA. Discuss your conclusions of the multiple retirement as it relates to your recurrent scrutiny topics for the overall retirement example and the special prognosticateors. Conclude delay an segregation of the strengths and limitations of multiple retirement.

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