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Sample size: 117 R (correlation coefficient) = 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Parameter Intercept Slope O-52.649 and the variety of T listed below: O 0.5282 O 0.5012 Estimate 0.5383 47.819 O 0.5582 0.6237 Std. Err. 62.855 0.0519 DF T.01,115= 2.35921, T.02,115-2.07731, T.01,116-2.35892 T.02,116=2.07710, T.01,117-2.35864 What is the approximate lower level of the 98% confidence interval on the slope? T-Stat 0.76079 16.2187 P-Value 0.4483 <0.0001

Sample size: 117 R (correlation coefficient) = 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Parameter Intercept Slope O-52.649 and the variety of T listed below: O 0.5282 O 0.5012 Estimate 0.5383 47.819 O 0.5582 0.6237 Std. Err. 62.855 0.0519 DF T.01,115= 2.35921, T.02,115-2.07731, T.01,116-2.35892 T.02,116=2.07710, T.01,117-2.35864 What is the approximate lower level of the 98% confidence interval on the slope? T-Stat 0.76079 16.2187 P-Value 0.4483 <0.0001

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section: Chapter Questions
Problem 22SGR
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Given the following output regression, relating to predicting housing prices, based on square footage: Simple linear regression results: Dependent Variable: PRICE Independent Variable: SQFT PRICE = 47.819305 +0.61366683 SQFT Sample size: 117 R (correlation coefficient) 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Slope Parameter Intercept Estimate 47.819 0.6237 and the variety of T listed below: Std. Err. 62.855 0.0519 DF T-Stat 0.76079 16.2187 P-Value 0.4483 T.01,115= 2.35921, T.02,115-2.07731, T.01.116-2.35892 T.02.116 2.07710, T.01.117=2.35864 What is the approximate lower level of the 98% confidence interval on the slope? <0.0001
Transcribed Image Text:Given the following output regression, relating to predicting housing prices, based on square footage: Simple linear regression results: Dependent Variable: PRICE Independent Variable: SQFT PRICE = 47.819305 +0.61366683 SQFT Sample size: 117 R (correlation coefficient) 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Slope Parameter Intercept Estimate 47.819 0.6237 and the variety of T listed below: Std. Err. 62.855 0.0519 DF T-Stat 0.76079 16.2187 P-Value 0.4483 T.01,115= 2.35921, T.02,115-2.07731, T.01.116-2.35892 T.02.116 2.07710, T.01.117=2.35864 What is the approximate lower level of the 98% confidence interval on the slope? <0.0001
Sample size: 117 R (correlation coefficient) = 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Parameter Intercept Slope O -52.649 and the variety of T listed below: O 0.5282 O 0.5012 Estimate O 0.5383 47.819 O 0.5582 0.6237 Std. Err. 62.855 0.0519 DF T-Stat T.01,115= 2.35921, T.02,115-2.07731, T.01,116-2.35892 T.02,116=2.07710, T.01,117-2.35864 What is the approximate lower level of the 98% confidence interval on the slope? 0.76079 16.2187 P-Value 0.4483 <0.0001
Transcribed Image Text:Sample size: 117 R (correlation coefficient) = 0.8448 R-sq = 0.7136788 Estimate of error standard deviation: 204.45117 Parameter estimates (rounded): Parameter Intercept Slope O -52.649 and the variety of T listed below: O 0.5282 O 0.5012 Estimate O 0.5383 47.819 O 0.5582 0.6237 Std. Err. 62.855 0.0519 DF T-Stat T.01,115= 2.35921, T.02,115-2.07731, T.01,116-2.35892 T.02,116=2.07710, T.01,117-2.35864 What is the approximate lower level of the 98% confidence interval on the slope? 0.76079 16.2187 P-Value 0.4483 <0.0001
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