The Leaning Tower of Pisa is an architectural wonder. Engineers concerned about the tower's stabilityhave done extensive studies on its increasing tilt. The following table shows how the lean has changedin excess of 2.9 meters by year since 1975.YearLeanYear Line Fit Plot756427807664476077656786677407967372080688700816966808269866083713847176408572562070758085908674287757• Lean Predicted LeanYearA regression analysis was run on this data, and the results from Excel are shown below.ANOVASignificance F0.000000000007dfSSMS1 15804.48 15804.48 904.1198RegressiorResidual11 192.2857 17.4805212 15996.77TotalCoefficientstandard ErrIntercept -61.12088 25.12982 -2.432205 0.0332799.318681 0.309914 30.06858Upper 95%.ower 95.0%Jpper 95.0%-116.4312367 -5.810522 -116.4312 -5.81052210.0008 8.636565t StatP-valueLower 95%Year6.5E-128.63656476810.0008a) What would Ho and Ha be to show whether the regression line is useful?b) What is the result of the significance test tied to the regression line? Use a = 0.05. SOLVE ANDINTERPRET CLEARLY AND THOROUGHLY. YOU MUST REFERENCE THE CONTEXT OF THEPROBLEM.c) What is the equation of the regression line? (if it in fact exists)

a) The regression line would be useful if the slope of the line is not equal to zero Hence the Null…

have done extensive studies on its increasing tilt. The following table shows how the lean has changed in excess of 2.9 meters by year since 1975. Year Lean Year Line Fit Plot 75 642 780 76 644 77 656 760 667 740 78 79 80 81 673 720 688 700 696 680 82 698 660 83 713 640 84 717 85 725 620 70 75 80 85 90 86 742 87 757 • Lean Predicted Lean Year A regression analysis was run on this data, and the results from Excel are shown below. ANOVA Significance F 0.000000000007 SS MS df 1 15804.48 15804.48 904.1198 Regressior Residual Total 11 192.2857 17.48052 12 15996.77 Upper 95% ower 95.0%Jpper 95.0% -116.4312367 -5.810522 -116.4312 -5.810522 10.0008 8.636565 P-value Lower 95% Intercept Year Coefficientstandard Em t Stat -61.12088 25.12982 -2.432205 0.033279 9.318681 0.309914 30.06858 6.5E-12 8.636564768 10.0008 a) What would Ho and Ha be to show whether the regression line is useful? b) What is the result of the significance test tied to the regression line? Use a = 0.05. SOLVE INTERPRET CLEARLY AND THOROUGHLY. YOU MUST REFERENCE THE CONTEXT OF THE PROBLEM. c) What is the equation of the regression line? (if it in fact exists) Lean

have done extensive studies on its increasing tilt. The following table shows how the lean has changed in excess of 2.9 meters by year since 1975. Year Lean Year Line Fit Plot 75 642 780 76 644 77 656 760 667 740 78 79 80 81 673 720 688 700 696 680 82 698 660 83 713 640 84 717 85 725 620 70 75 80 85 90 86 742 87 757 • Lean Predicted Lean Year A regression analysis was run on this data, and the results from Excel are shown below. ANOVA Significance F 0.000000000007 SS MS df 1 15804.48 15804.48 904.1198 Regressior Residual Total 11 192.2857 17.48052 12 15996.77 Upper 95% ower 95.0%Jpper 95.0% -116.4312367 -5.810522 -116.4312 -5.810522 10.0008 8.636565 P-value Lower 95% Intercept Year Coefficientstandard Em t Stat -61.12088 25.12982 -2.432205 0.033279 9.318681 0.309914 30.06858 6.5E-12 8.636564768 10.0008 a) What would Ho and Ha be to show whether the regression line is useful? b) What is the result of the significance test tied to the regression line? Use a = 0.05. SOLVE INTERPRET CLEARLY AND THOROUGHLY. YOU MUST REFERENCE THE CONTEXT OF THE PROBLEM. c) What is the equation of the regression line? (if it in fact exists) Lean

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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