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B I3 =5 In your report . Beginning on the title page, replace bracketed text with your information and work. The brackets themselves should also be removed from your final report. 7. Under the “Introduction” header, introduce the purpose of your report. Replace the bracketed text and brackets with your work. 8. Under the “Histograms and Summary Statistics” header, paste your histograms as images. 9. Create a table of summary statistics for each of your two variables of interest. 10.Write a paragraph explaining the shape, center, and spread for each of these two variables. In your Excel file 11.Create a scatter plot that displays the association between poverty levels and death from cancer. Label each axis of your scatterplot and give it an appropriate title. 12.Add a linear regression line to your scatterplot. 13.Display the regression equation and coefficient of determination (r2) on your chart. Arrange and increase font as needed so that these are easily visible to your reader. 14.Calculate your correlation coefficient. In your report 15.Under the “Scatterplot with Regression” header, paste your scatterplot that also has your regression line, regression equation, and r2 displayed. 16. State your independent and dependent variable. 17.State your regression equation. 18. State your slope and intercept; interpret the intercept in the context of this scenario. 19. State your correlation coefficient and explain what this tells you about your data. 20. State your coefficient of determination and explain what this tells you about your data and your equation. 21.Discuss whether you see any potential outliers and explain your reasoning. 22.1f the poverty rate were to increase by 10%, say from 30% to 40%, by how much does the death rate change? 23.For what range of poverty rates is this regression equation best used? a. Give an example of interpolation stating the input and output for the regression equation.