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

Answered: 6. Based on the results of this…

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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Related questions

Question

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, B1 . ( 0.5807
0.3915

Coefficients
Estimate
Std. Error
t value
Pr(>lt)
Intercept
-42.6491
40.1173
-1.0631
0.2931
gestation
0.5807
0.146
3.9777
0.0002
Residual standard error: 13.6214 on 48 degrees of freedom
Multiple R-squared: 0.2479, Adjusted R-squared: 0.2322
240
260
280
300
Gestation age
091
001
Birthweight in ounces

Expert Solution

Step 1

The regression analysis is a statistical procedure that allow us to find the linear association between the dependent variable/ outcome variable and one or more independent variables /predictor variables. When there lies linear relationship between the variables, regression analysis will allow us to compute the value of outcome variable using the provided information of predictor variables.