Review this week’s Learning Resources and media program related to regression an

Question

Review this week’s Learning Resources and media program related to regression and correlation to answer the questions. Using the General Social Survey dataset, What is your research question? What is the null hypothesis for your question? What research design would align with this question? What dependent variable was used and how is it measured? What independent variable is used and how is it measured?

If you found significance, what is the strength of the effect?

Explain your results for a lay audience; explain the answer to your research question.

correlations Correlations NUMBER OF HOURS USUALLY WORKA WEEK RESPONDEN TINCOME IN CONSTANT DOLLARS NUMBER OF HOURS USUALLY WORKA WEEK Pearson Correlation Sig. (2-tailed) 40 RESPONDENT INCOME IN CONSTANT DOLLARS Pearson Correlation Sig. (2-tailed) 1523 **. Correlation is significant at the 0.01 level (2-tailed) Regression Variables Entered/Removed Variables Removed Variables Model Entered Method Enter NUMBER OF HOURS USUALLY WORKA WEEK a. Dependent Variable: RESPONDENT INCOME IN CONSTANT DOLLARS b. All requested variables entered

Explanation / Answer

What is your research question? What is the null hypothesis for your question?

Ans: Whether the number of hours usually work a week has a significant effect on income in constant dollars?

What would research design align with this question?

Ans: The research design align with this question is to apply the linear regression on the data using the number of hours usually work a week as an independent variable and income in constant dollars as a dependent variable.

What dependent variable was used and how is it measured?

Ans: Income in constant dollars is the dependent variable.

What independent variable is used and how is it measured?

Ans: Number of hours usually work a week is the independent variable.

If you found significance, what is the strength of the effect?

Ans: The estimated correlation coefficient between the number of hours usually work a week and income in constant dollars is 0.717 with the p-value of 0.0000. Hence, the strength of the effect is strong.

Explain your results for a lay audience; explain the answer to your research question.

Ans: The estimated p-value of slope from the coefficient table is 0.000. Hence, Number of hours usually work a week has the significant effect on income in constant dollars at 005 level of significance. For increase, a unit in the number of hours usually work a week increases the mean income by 1657183.

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