Please answer all of the question the excel, and clearing labeling each questions.Please use different worksheet for each questions and highlight the final answer. Free feel to use excel functions.

Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret. Determine the equation of the "best fit" line, which describes the relationship between the dependent variable and the selected independent variable. Determine the coefficient of correlation. Interpret. Determine the coefficient of determination. Interpret. Test the utility of this regression model, represented by a hypothesis test of b=0 using α=0.10. Interpret results, including the p-value. Based on the findings in steps 1-5, analyze the ability of the independent variable to predict the dependent variable? Compute the confidence interval for b, using a 95% confidence level. Interpret this interval. Compute the 99% confidence interval for the dependent variable, for a selected value of the independent variable. Each student can choose a value to use for the independent variable (use same value in the next step). Interpret this interval. Using the same chosen value for part (8), estimate the 99% prediction interval for the dependent variable. Interpret this interval. What can be said about the value of the dependent variable for values of the independent variable that are outside the range of the sample values? Explain. All DeVry University policies are in effect, including the plagiarism policy. Project Part C report is due by the end of Week 7. Project Part C is worth 100 total points. See grading rubric below. Summarize your results from Steps 1–10 in a 3-page report. The report should explain and interpret the results in ways that are understandable to someone who does not know statistics.Submission: The summary report and all of the work done in 1–10 (Excel output and interpretations) as an appendixFormat for report: Summary Report Steps 1-10 addressed with appropriate output, graphs and interpretations. Be sure to number each step 1-10.

Explain what chi squared goodness of fit is. What is the underlying assumption? What is the test statistic and what is its asymptotic distribution? How the hypothesis is formulated and what are the expected outcomes? What is the criterion for rejecting the null hypothesis? How is the p value evaluated? Provide a hypothetical formulation of goodness of fit test.Explain what chi squared test of independence is. What is the underlying assumption? What is the test statistic and what is its asymptotic distribution? How the hypothesis is formulated and what are the expected outcomes? What is the criterion for rejecting the null hypothesis? How is the p value evaluated? Provide a hypothetical formulation of test of independence.