Identify and interpret the 95% confidence interval estimate of the population slope. The confidence interval is...
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Identify and interpret the 95% confidence interval estimate of the population slope. The confidence interval is |. With 95% confidence, it can be said that true expected mean increase in per additional the wedding is within the bounds of the confidence interval. (Round to three decimal places as needed.) Simple linear regression results: Dependent Variable: Wedding Cost Independent Variable: Attendance Wedding Cost = 2735.0299 + 126.48353 Attendance Sample size: 25 R (correlation coefficient) = 0.7185397 R-sq = 0.5162993 Estimate of error standard deviation: 9330.6283 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 2735.0299 5054.1799 #0 23 0.54114219 0.5936 Slope 126.48353 25.527463 #0 23 4.9548023 <0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 2.137344e9 2.137344e9 24.550066 <0.0001 Error 23 2.0023944e9 87060625 Total 24 4.1397384e9 Identify and interpret the 95% confidence interval estimate of the population slope. The confidence interval is |. With 95% confidence, it can be said that true expected mean increase in per additional the wedding is within the bounds of the confidence interval. (Round to three decimal places as needed.) Simple linear regression results: Dependent Variable: Wedding Cost Independent Variable: Attendance Wedding Cost = 2735.0299 + 126.48353 Attendance Sample size: 25 R (correlation coefficient) = 0.7185397 R-sq = 0.5162993 Estimate of error standard deviation: 9330.6283 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 2735.0299 5054.1799 #0 23 0.54114219 0.5936 Slope 126.48353 25.527463 #0 23 4.9548023 <0.0001 Analysis of variance table for regression model: Source DF SS MS F-stat P-value Model 1 2.137344e9 2.137344e9 24.550066 <0.0001 Error 23 2.0023944e9 87060625 Total 24 4.1397384e9
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