The Leaning Tower of Pisa is an architectural wonder. Engineers concerned about the tower’s stability have conducted extensive studies on its increasing tilt. The following data shows how the lean has changed, in excess of 2.9 meters, by year since 1975:| Year | Lean ||------|------|| 75 | 642 || 76 | 644 || 77 | 653 || 78 | 667 || 79 | 662 || 80 | 688 || 81 | 698 || 82 | 699 || 83 | 698 || 84 | 717 || 85 | 725 || 86 | 742 || 87 | 757 |### Graph: Year Line Fit PlotThe graph presents a line fit plot with:- **X-axis**: Year- **Y-axis**: Lean- **Data Points**: Represented with red markers showing the actual measured lean.- **Line**: A red line indicating the predicted lean based on the regression analysis.### Regression Analysis DetailsResults from Excel’s analysis are as follows:#### ANOVA Table- **Regression**: - Degrees of freedom (df): 1 - Sum of squares (SS): 15804.48 - Mean square (MS): 15804.48 - F-statistic: 904.1198 - Significance F: 0.000000000007- **Residual**: - Degrees of freedom (df): 11 - Sum of squares (SS): 192.2857 - Mean square (MS): 17.48052- **Total**: - Sum of squares (SS): 15996.77#### Coefficients- **Intercept**: -61.12088- **Standard Error**: 25.12982- **T-statistic**: -2.432205- **P-value**: 0.033279- **Confidence Intervals (95%)**: Lower -116.4312367, Upper -5.810522- **Year Coefficient**: 9.318681- **Standard Error**: 0

a) The regression line would be useful if the slope of the line is not equal to zero Hence the Null and Alternate hypothesis would be : H0 : β = 0 (The slope is equal to zero as no linear relationship exists) Ha : β ≠ 0 (The slope is significantly different from zero as a significant linear relationship exists)b) Given : Given significance level = 0.05 P-value = 0.033279 We noticed that P-value < 0.05 Hence, Null hypothesis is rejected We conclude that The slope is significantly different from zero as a significant linear relationship exists c) The equation of regression line is : Lean = -61.12088 + Year * 9.318681