6. Based on the results of this hypothesis test, there is extremely strong evidencev of a linear relationship between the explanatory andresponse variables.7. Calculate a 95% confidence interval for the slope, B1 . ( 0.58070.3915 CoefficientsEstimateStd. Errort valuePr(>lt)Intercept-42.649140.1173-1.06310.2931gestation0.58070.1463.97770.0002Residual standard error: 13.6214 on 48 degrees of freedomMultiple R-squared: 0.2479, Adjusted R-squared: 0.2322240260280300Gestation age091001Birthweight in ounces

6. Based on the results of this hypothesis test, there is extremely strong evidence v of a linear relationship between the explanatory and response variables. 7. Calculate a 95% confidence interval for the slope, B. ( 0.5807 0.3915

6. Based on the results of this hypothesis test, there is extremely strong evidence v of a linear relationship between the explanatory and response variables. 7. Calculate a 95% confidence interval for the slope, B. ( 0.5807 0.3915

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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