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- Consider the following set of dependent and independent variables. Using technology, check for the presence of multicollinearity. If multicollinearity is present, take the necessary steps to eliminate it. Select the correct choice and, if necessary, fill in the answer boxes to complete your choice. A) Eliminate the variable x(__), which has a VIF of (__). No more variables need to be eliminated. B) Eliminate the variable x(__), which has a VIF of (__). Then eliminate the variable x(__), which has a VIF of (__). C) No variables need to be eliminated. y 33 31 38 37 40 46 48 54 47 58 x1 53 55 55 58 57 61 66 70 89 71 x2 24 17 20 17 9 15 14 11 15 12 x3 7 16 10 13 19 18 24 21 28 30The head of the marketing division of a leading chocolate manufacturer must decide among our different wrapper styles for the chocolate. To provide a database for the decision, he has the chocolate placed in the different wrappers and distributes them to five supermarkets. At the end of 2 weeks, he finds that the following amounts of chocolate were sold: Wrapper A Wrapper B Wrapper C Wrapper D 90 98 130 82 State the dependent and independent variable Is this directional or non directional testBecause the data in this chart are displayed as a line with no data point markers, this indicates that the dependent variable data are A) Measured (or Empirical), Numeric B) Theoretical (or Calculated), Numeric C) Measured (or Empirical), Categorical D) Theoretical (or Calculated), Categorical
- Determine the dependent and independent variable of the following statement: 1. The Effect of Structure Peer Assisted Instruction to the Academic Performance of STEM Students in PhysicsA study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was definedas the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study.Age The age of the workerEduc The number of years of educationMarried A dummy variable; 1 if married, 0 otherwiseHead A dummy variable; 1 if the head of household, 0 otherwiseTenure The number of years on the previous jobManager A dummy variable; 1 if management occupation, 0 otherwiseSales A dummy variable; 1 if sales occupation, 0 otherwiseThe data are available in the file named Layoffs.a. Develop the best one-variable estimated regression equation.b. Use the stepwise procedure to develop the best estimated regression equation. Usevalues of .05 for Alpha to enter and Alpha to remove.c. Use the forward selection procedure to develop the best estimated regression equation.Use a value of .05…A study provided data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was definedas the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study.Age The age of the workerEduc The number of years of educationMarried A dummy variable; 1 if married, 0 otherwiseHead A dummy variable; 1 if the head of household, 0 otherwiseTenure The number of years on the previous jobManager A dummy variable; 1 if management occupation, 0 otherwiseSales A dummy variable; 1 if sales occupation, 0 otherwiseThe data are available in the file named Layoffs.a. Develop the best one-variable estimated regression equation.
- A)indicate the independent and dependent variables for each study(if any) B)what type of research design was used(if any) C)what t-test was used to analyze the data?A research team collected data on the time college students spent on an ordinary homework assignments, and is interested in finding out whether Temple University students dedicate more time to homework than what was reported in a nationwide survey of undergraduates. A)Identify the dependent (DV) variable B) Identify the levels of the independent variable (IV) C)Indicate whether the researcher’s hypothesis is directional or non-directional D)Write the null and research hypotheses (H0 and H1) in your own wordsFor this exercise, you must input thew following data: Variable name: Low-sugar diet; label: low_feed_consumed: 8.5, 8.0, 13.2, 6.8, 6.45, 6.0, 9.12, 9.75. Medium-sugar diet; medium_feed_consumed: 10.99, 10.5, 9.67, 8.61, 10.92, 12.8, 9.03, 9.45. High-sugar diet; high_feed_consumed: 10.39, 9.97, 13.78, 12.69, 12.8, 9.67, 9.98, 10.67. 2.a) Complete a one-sample t-test. You are testing the low sugar diet mean against the medium sugar diet mean 10 (rounded to a whole number). Also provide the obtained t-value, level of significance and state whether you accept or reject the null hypothesis.
- In a test of the hypothesis that females smile at others more than males do, females and males were videotaped while interacting and the number of smiles emitted by each sex was noted. Using the following information regarding number of smiles in the five-minute interaction, examine whether there are sex differences in the number of smiles. Males Females N1 = 5 N2 = 5 X1 = 7.6 X2 = 15.2 S12 = 17.04 S22 = 8.96 Which is the independent variable and which is the dependent variable? What is your research hypothesis? What is your null hypothesis? Which test should you use (Two Sample Independent t, ANOVA, Chi-square, or correlation )? Calculate the test statistic. interpret whether you have statistically significant results when α = .05. State whether the null hypothesis is rejected. Include critical region. Provide an overall sentence about the…Use the data and create a model that estimates a student's giving rate as an alumni based on the three parameters provided. As the Student-Faculty Ratio increases, the Alumni Giving Rate declines. Group of answer choices True False University Graduation Rate % of Classes Under 20 Student-Faculty Ratio Alumni Giving Rate Boston College 85 39 13 25 Brandeis University 79 68 8 33 Brown University 93 60 8 40 California Institute of Technology 85 65 3 46 Carnegie Mellon University 75 67 10 28 Case Western Reserve Univ. 72 52 8 31 College of William and Mary 89 45 12 27 Columbia University 90 69 7 31 Cornell University 91 72 13 35 Dartmouth College 94 61 10 53 Duke University 92 68 8 45 Emory University 84 65 7 37 Georgetown University 91 54 10 29 Harvard University 97 73 8 46 Johns Hopkins University 89 64 9 27 Lehigh University 81 55 11 40 Massachusetts Inst. of Technology 92 65 6 44 New York University 72 63 13 13 Northwestern…MR In Dave Eggers’ novel The Circle, a mysteri-ous technology company has developed a strangely data-driven work environment in which employees are assigned a performance score that seems to be the product of factors in their social activities and environment, such as the extent of their engagement in work community and the number of times they post on the company’s social media site. Using the fictional data below, compute r and r2 for each com-bination of two variables from this novel and test the correlations for their significance. Write a paragraph interpreting the relationships between these vari-ables, and what they might mean for the company