Is it possible to have several dependent variables in a model? Are several variables possible in a decision-making problem? Which model—descriptive, predictive, or prescriptive—of a particular choice issue would you be most likely to employ if it were offered to you? Why? Give an example of a well-known
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- Is it possible to have several dependent variables in a model?
- Are several variables possible in a decision-making problem?
- Which model—descriptive, predictive, or prescriptive—of a particular choice issue would you be most likely to employ if it were offered to you? Why?
- Give an example of a well-known corporate, political, or military leader who made a choice that either had a positive or negative impact.
- What distinguishes a computer model from a spreadsheet model?
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- Cholesterol Cholesterol in human blood is necessary, but too much can lead to health problems. There are three main types of cholesterol: HDL (high-density lipoproteins), LDL (low-density lipoproteins), and VLDL (very low-density lipoproteins). HDL is considered “good” cholesterol; LDL and VLDL are considered “bad” cholesterol. A standard fasting cholesterol blood test measures total cholesterol, HDL cholesterol, and triglycerides. These numbers are used to estimate LDL and VLDL, which are difficult to measure directly. Your doctor recommends that your combined LDL/VLDL cholesterol level be less than 130 milligrams per deciliter, your HDL cholesterol level be at least 60 milligrams per deciliter, and your total cholesterol level be no more than 200 milligrams per deciliter. (a) Write a system of linear inequalities for the recommended cholesterol levels. Let x represent the HDL cholesterol level, and let y represent the combined LDL VLDL cholesterol level. (b) Graph the system of inequalities from part (a). Label any vertices of the solution region. (c) Is the following set of cholesterol levels within the recommendations? Explain. LDL/VLDL: 120 milligrams per deciliter HDL: 90 milligrams per deciliter Total: 210 milligrams per deciliter (d) Give an example of cholesterol levels in which the LDL/VLDL cholesterol level is too high but the HDL cholesterol level is acceptable. (e) Another recommendation is that the ratio of total cholesterol to HDL cholesterol be less than 4 (that is, less than 4 to 1). Identify a point in the solution region from part (b) that meets this recommendation, and explain why it meets the recommendation.Rebecca Chory, Ph.D., now an associate professor of communication at West Virginia University, began studying the effect of such portrayals on patients' attitudes toward physicians. Using a survey of 300 undergraduate students, she compared perceptions of physicians in 1992—the end of the era when physicians were shown as all-knowing, wise father figures—with those in 1999, when shows such as ER and Chicago Hope (1994–2000) were continuing the transformation to showing the private side and lives of physicians, including vivid demonstrations of their weaknesses and insecurities. Dr. Chory found that, regardless of the respondents' personal experience with physicians, those who watched certain kinds of television had declining perceptions of physicians' composure and regard for others. Her results indicated that the more prime time physician shows that people watched in which physicians were the main characters, the more uncaring, cold, and unfriendly the respondents thought physicians…Rebecca Chory, Ph.D., now an associate professor of communication at West Virginia University, began studying the effect of such portrayals on patients' attitudes toward physicians. Using a survey of 300 undergraduate students, she compared perceptions of physicians in 1992—the end of the era when physicians were shown as all-knowing, wise father figures—with those in 1999, when shows such as ER and Chicago Hope (1994–2000) were continuing the transformation to showing the private side and lives of physicians, including vivid demonstrations of their weaknesses and insecurities. Dr. Chory found that, regardless of the respondents' personal experience with physicians, those who watched certain kinds of television had declining perceptions of physicians' composure and regard for others. Her results indicated that the more prime time physician shows that people watched in which physicians were the main characters, the more uncaring, cold, and unfriendly the respondents thought physicians…
- How will marketers change their social media use in the near future? A survey by Social Media Examiner reported that 77% of B2B marketers (marketers that focus primarily on attracting businesses) plan to increase their use of LinkedIn, as compared to 54% of B2C marketers (marketers that primarily target consumers). The survey was based on 1,184 B2B marketers and 1,703 B2C marketers. The following table summarizes the results: Give an example of a simple Give an example of a joint What is the complement of a marketer who plans to increase use of LinkedIn? Why is a marketer who plans to increase use of LinkedIn and is a B2C marketer a joint event?In a two factor factorial design with two design factors A and B, why do we generally include the interaction term in the model? What is the major concern if the model ignores the interaction effect?A manager wants to see if geographical region (Cape Town, Durban and Gauteng) is related with ownership of a tablet (“Have a tablet” and “No tablet”). Define the null hypothesis and the alternative hypothesis. A. H1: Geographical region and ownership of a tablet are independent vs H0: No relationship exists between Geographical region and ownership of a tablet B. H0: Geographical region and ownership of a tablet are independent vs H1: A relationship exists between Geographical region and ownership of a tablet C. H1: Geographical region and ownership of a tablet are independent vs H0: Geographical region is dependent on ownership of a tablet D. H0: A relationship exists between Geographical region and ownership of a tablet vs H1: No relationship exists between Geographical region and ownership of a tablet
- Consider that the results of a research study conclude that the “effect of social media use on anxiety depends on gender.” Which statement below is correct based on this conclusion? a. The research study uncovered a main effect of social media use, but no main effect of gender or interaction between gender and social media use. b. The research study uncovered a main effect of gender and interaction of gender and social media use, but not main effect of social media use. c. The research study uncovered an interaction between social media use and gender, but no main effects. d. The research study uncovered no main effects of gender or social media use, as well as no interaction between gender and social media use.In the COVID-19 data set, there are several questions that participants answer about the reactions of their government to the pandemic, as well as questions about their own well-being, in terms of measures of distress, such as anxiety and depression. This data was collected quite early in the pandemic, near the beginning of the first wave in late March. One might ask whether how one viewed their government might affect one's concerns about the health of their family and themselves. What type of procedure might you use to see whether there was an association between attitudes towards governtment and worries about health? Group of answer choices Correlation Related Samples t Test Chi-Square Goodness of Fit Test Oneway ANOVAA research has been conducted to determine the factors affecting the tax return preparation period. Accordingly, Y = b0 + b1x1 + b2x2 + b3x3 + b4x4+ ε model containing 4 independent variables was created. 40 accountants were interviewed and the following results were reached: y = 17,2 + 3,8x1 – 1,04x2 + 2,15x3 + 15,1x4 y : Tax filing preparation time (minutes) x1: Income of individuals ($ 1000) x2: Age of individuals x3: Number of people living in the household x4: 1 if individuals are hosts, 0 if not = 5.3, = 0.13, = 0.33, = 1.51, = 4.7, R2 = 0.45. a) Interpret the estimate ? b) interpret the value of R2 c) Whether the coefficient of ?4 is different from 0, by creating the relevant hypotheses, testing at the level of α = 0.01 significance Please. Interpret the results d) Test the zero hypothesis, expressed as ?1 = ?2 = ?3 = ?4 = 0, at the level of significance α = 0.01. Interpret the results
- A research has been conducted to determine the factors affecting the tax return preparation period. Accordingly, Y = b0 + b1x1 + b2x2 + b3x3 + b4x4+ ε model containing 4 independent variables was created. 40 accountants were interviewed and the following results were reached: y = 17,2 + 3,8x1 – 1,04x2 + 2,15x3 + 15,1x4 y : Tax filing preparation time (minutes) x1: Income of individuals ($ 1000) x2: Age of individuals x3: Number of people living in the household x4: 1 if individuals are hosts, 0 if not = 5.3, = 0.13, = 0.33, = 1.51, = 4.7, R2 = 0.45. d) Test the zero hypothesis, expressed as b1 = b2 = b3 = b4 = 0, at the level of significance α = 0.01. Interpret the results? already a expert solved first three part can you help me with DEconomists, Angrist and Lavy (1999) exploited an 800 year-old rule regarding classroom size to estimate the causal effect of smaller classes on student achievement. The rule, made famous by 12th century scholar Maimonides, states that one teacher is sufficient to manage a class with up to 40 students. Classes with more than 40 students will require 2 teachers. Angrist and Lavy noticed that strict application of this rule in certain areas meant that if 80 students were enrolled in a school, then the school would divide them up into two groups of 40 students per teacher. If 81 students were enrolled, however, they would be placed in three classes of 27 students each. The rule thus generated sharp discontinuities in class sizes within schools, which, the authors argue, allow them to provide causal evidence of a boost in fifth grade math and reading scores as a result of smaller class size. a. What research design is implied by the authors’ use of Maimonides’ rule to estimate the causal…A new and relatively expensive medication is released into the population to treat type II diabetes. A doctor notices that poor patients are less likely to see effects from the medicaation than more wealthy patients, but after conducting a survey the doctor finds the poor patients are less likely to fully comply with their medication regimen because they cannot afford to take the medication on a regular basis. This is an example of which of the following? A. Confounding. B. Statistical interaction. C. Selection bias or D. Recall bias