In order to help clients determine the price at which their house is likely to sell, a realtor gathered a sample of 150 purchase transactions in her area during a three month period. For the response in the model use the price of the home (in thousands of dollars). As explanatory variables use the number of square feet (also in thousands) and the number of bathrooms.

A. Examine the scatterplots of the response variable versus the two explanatory variables as well as the scatterplot between the two explanatory variables. Do you notice any unusual features? Do the relevant plots appear straight enough for multiple regression?

B. Fit the multiple regression model to predict price of home from square feet and number of bathrooms) and summarize the estimates in the context of the problem.

C. What is the fraction of the variation of home prices that can be attributed to the explanatory variables? Is the fraction statistically significantly greater than zero?

D. Compare the partial slope (multiple regression) with the marginal slope (simple regression) for the number of bathrooms. Explain why they are very different and show a confidence interval for each.

E. What you predict the price should be for a home with 2 bathrooms that is 3,000 square feet? Find an approximate 95% prediction interval.

 

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In order to increase your understanding of this case study, the practical class will provide the opportunity to view anatomical models and receive guidance from an anatomy tutor. You also have all of your lecture notes, the course textbook/Mastering Biology, and your own tutor as additional resources. You will aim to identify concepts related to the structure and function of the 4 biological systems covered, and integrate this information into a concept map that demonstrates the responses and interactions in the body of the case study patient. By the end of this practical, you should be able to: ✓ Recall and demonstrate your understanding of basic cellular events (e.g. release of hormones & neurotransmitters). Apply this understanding to the 4 biological systems covered (and others). Qualitatively describe the relationship between the 4 systems (e.g. cardiac output and kidney function). Visually depict those relationships using a concept map. Evaluate those relationships and explain a possible biological cause for the symptoms of your patient.

 

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In order to maintain a stable and low inflation, European Central Bank (ECB) would like to increase the interest rates in the economy. What open market operation (OMO) action should the ECB take? Explain in detail the OMO process and its implications for the cash rate, interest rates, inflation and GDP. Draw by hand the effect of the OMO process using the Money Demand-Money Supply (MD-MS) diagram.        

 

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In order to make decisions about the value of any research study for practice, it is important to understand the general processes involved in analyzing research data. By now, you have examined enough research studies to be aware that there are some common ways that data are reported and summarized in research studies. For example, the sample is often described by numbers of participants and by certain characteristics of those participants that help us determine how representative the sample is of a population. The information about the sample is commonly reported in tables and graphs, making use of frequency distributions, measures of central tendency, and dispersion. Information about the variables (or concepts) of interest when quantified are also reported in similar manner.

Although the actual data analysis takes place after data have been collected, from the initial planning of a research study, the researcher needs to have an awareness of the types of questions that can be answered by particular data analysis techniques.

For this Discussion, review the case study entitled “Social Work Research: Measuring Group Success.” Consider the data analysis described in that case. Recall the information presented in the earlier chapters of your text about formulating research questions to inform a hypotheses or open-ended exploration of an issue.

 Post an explanation of the types of descriptive and/or inferential statistics you might use to analyze the data gathered in the case study. Also explain how the statistics you identify can guide you in evaluating the applicability of the study’s findings for your own practice as a social worker. Please use the resources to support your answer. 

300-400 words

References: 

 Yegidis, B. L., Weinbach, R. W., & Myers, L. L.  (2018). Research methods for social workers (8th ed.). New York, NY:  Pearson. 

 Plummer, S.-B., Makris, S., & Brocksen S. M. (Eds.). (2014). Social work case studies: Foundation year. Baltimore, MD: Laureate International Universities Publishing. [Vital Source e-reader]. 

 

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In order to maximize profits or minimize losses, a competitive firm will produce at the point where MC = MR. Do you agree or disagree with this statement? Explain your answer and use at least 2 examples in your response.

 

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