Business

Research Methods

Project description
Question 1. Identify the steps in interpreting a regression model. Interpret the following data:

Y = 5.0 + .30X1 where the dependent variable equals turnover intentions for line managers and the independent variable equals the number of employees supervised

Y = 250 4.0X1 where the dependent variable is the number of hits on a new banner ad and the independent variable is the number of weeks the ad has run

Provide your findings in the space provided.

Your response should be at least 75 words in length. You are required to use at least your textbook as source material for your response. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations.

Question 2. Using Case Exhibit 21.1-1 on page 527 in the textbook, please calculate the mean average miles per gallon. Compute the sample variance and sample standard deviation. Determine the most appropriate statistical test using the 0.5 significance level. Provide your findings in the space provided.

Your response should be at least 75 words in length. You are required to use at least your textbook as source material for your response. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations.

Question 3.Using the SPSS Output from Case Exhibit 22.1-1 on page 551 of your textbook, comment on the appropriateness of the statistical test used (make sure that your response includes information on the types of variables used and the scales of measurement). Describe an alternative approach that may be used.

Your response should be at least 200 words in length. You are required to use at least your textbook as source material for your response. All sources used, including the textbook, must be referenced; paraphrased and quoted material must have accompanying citations.

The name of the text book is: Business Research Methods by Zikmund, Babin, Carr and Griffin.

Article link: http://www.mckinsey.com/business-functions/organization/our-insights/ahead-of-the-curve-the-future-of-performance-management
Paper Instructions: https://ntulearn.ntu.edu.sg/bbcswebdav/pid-1030971-dt-content-rid-3992829_1/courses/16S2-BH3602-SEM/Revised%20Indiv%20Assignment%20_PM_%20Brief.pdf