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.Part C: Grading RubricCategoryPoints%Description Steps 1-10 worth 8 pts. each 80 80% Addressed with appropriate output, graphs and interpretations Communication Skills20 20% Writing, grammar, clarity, logic, and cohesiveness Totals100 100% A quality paper will meet or exceed all of the above requirements

Consider a situation that you might want to study through a statistical lens. The situation would require you to study a small sample and make an inference to the population. For example, you might want to understand how likely children are to complete their homework when considering their individual characteristics or maybe you want to understand if children who eat broccoli are more likely to complete their homework than those who do not.Respond to the following in a minimum of 100 words without any reference:How would you select a test that was appropriate to answer your question?How would you rule out tests that were not appropriate to answer your question? Post 2 replies to classmates or your faculty member. Be constructive and professional.This is one of the responses from another student that I need to reply to:"To determine the kind of test to use will depend on the population sample collected. For instance, we can use the T-Test to find the difference between the two pairs of the mean. In our case, we need to determine the individual characteristics which can be easily done using the ANOVA test. First, we need to find quality data sample population and compare those population means with three or more population mean. The main idea is to figure out how much of the total variance is from either the variance between the groups or the variance within the groups. Therefore, our Null hypothesis will be all the population mean of those groups is equal while the alternative hypothesis will be at least one mean of those groups is different. As illustrated below.H0: µ1=µ2=µ3Ha: At least one the mean differs from the others.For this case, we have to test how these means differ from other mean populations. We will use the concept of variance to test if our null hypothesis means is likely equal to other means for us to accept or reject if one of the means is not likely to be equal to other means. For better results, we need to study our population sampling as we use the concept of variance. Once we find the one or more mean differ, we have to validate the result because the quality of data affects the outcome, and also it will depend on our population sample."