Write both a null and research hypothesis for the following variables: study time and academic success exam scores and hours spent sleeping parental support and disciplinary conduct problems
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Write both a null and research hypothesis for the following variables:
study time and academic success
exam scores and hours spent sleeping
parental support and disciplinary conduct problems
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- Suppose researchers use observational data to study the effect of class size and teacher experience on student score. Which of the following is a confounding variable? Student score 0000 Family income Class size Teacher experience(Econmetrics) Q.1 How can you test for general misspecification of model if it would have only (any of) two independent variables?Question: 1. Please chose a topic you are interested in within social policy-education, health care, mental health etc. and write out a hypothetical regression estimation for this topic. Make sure to identify the ideal outcome variable, explanatory variable, and control variables.
- This is model question. I need100% accurate answer. Please review it.What are the four assumptions of linear regression (simple linear and multiple)?Sales Sales Force Sales Force Training Performance Effectiveness Sales Force Customer Orentation Please perform the quantitative analysis with the above variables. 1.0 Introduction 1.1 Objectives 1.2 Assumptions 1.3 Other Considerations 1.4 Hypotheses
- Children who were breastfed as infants have higher average IQs on average than children who were not. Breastfeeding advocates claim that this is due to the superior nutrition in breastmilk including brain building chemicals such as DHA. You have been hired to investigate this relationship more fully. Your employers are worried about the possibility of omitted variables biasing the results of the study. Name 3 possible omitted variables and explain how they might bias the results. Explain 2 empirical strategies you might use in your investigation.We talked in class about practice performance being a poor predictor of learning. Some types of practice and instruction lead to underestimating the the amount learning that is taking place, while other practice and instruction leads to overestimating learning learning. Describe the practice and instruction conditions that tend to lead to overestimating and underestimating learning.Econometrics may be defined as the social science in which the tools of economic theory, mathematics, and statistical inference are applied to the analysis of economic phenomena. A. True B. False 10. 11. What is/are the objective(s) of regression analysis? A. To estimate the expected value of the dependent variable only B. To test hypotheses about the nature of the dependence between the variables only C. To predit the expected value of the dependent variable, given the value(s) of the dependent variables beyond the sample range only D. All of the above What is the population regression line or PRL? A. A line derived from the sample collected in a population B. A line that passes through the conditional means of the independent variable (X) C. Gives the average value of the dependent variable corresponding to each value of the independent variable D. Gives the average value of the independent variable corresponding to each value of the dependent variable 12.
- A(n) variable is calculated from within the model. A(n). endogenous; endogenous endogenous; exogenous exogenous; endogenous exogenous; exogenous none of the above variable can never be taken as given.Explain the Gauss–Markov Theorem for Multiple Regression?Oil Recovery A U.S. state's Bureau of Economic Geology published a study on the economic impact of using carbon dioxide enhanced oil recovery (EOR) technology to extract additional oil from fields that have reached the end of their conventional economic life. The following table gives the approximate number of jobs for the citizens that would be created at various levels of recovery. Percent Recovery (%) 20 40 80 100 Jobs Created (Millions) 6 6 12 18 Find the regression line. j(r) = Use the regression line to estimate the number of jobs (in millions) that would be created at a recovery level of 50%. million jobs