Public health researchers would like to evaluate whether information on age (in years) and weight (in kg) could be used to predict shoe size of students. The output of the linear regression analysis is given below.           95% confidence interval     Unstandardized Beta t Lower bound Upper bound   (Constant) 6.493 1.121 -5.191 18.177 Age (years) -0.462 -1.617 -1.037 0.114 Weight (kg) 0.155 7.568 0.114 0.197 Dependent variable: shoe size   A) Write null hypotheses for the linear regression analysis.         B) Interpret the results of the linear regression in not more than 100 words.         C) Write a complete equation for the results of the linear regression analysis

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Public health researchers would like to evaluate whether information on age (in years) and weight (in kg) could be used to predict shoe size of students.

The output of the linear regression analysis is given below.

 

 

 

 

 

95% confidence interval

 

 

Unstandardized Beta

t

Lower bound

Upper bound

 

(Constant)

6.493

1.121

-5.191

18.177

Age (years)

-0.462

-1.617

-1.037

0.114

Weight (kg)

0.155

7.568

0.114

0.197

Dependent variable: shoe size

 

  1. A) Write null hypotheses for the linear regression analysis.

 

 

 

 

  1. B) Interpret the results of the linear regression in not more than 100 words.

 

 

 

 

C) Write a complete equation for the results of the linear regression analysis

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