Ideal proportions The students in Mr. Shenk's class measured the arm spans and heights (in inches) of a random sample of 18 students from their large high school. Some computer output from a least-squares regression analysis on these data is shown below. Construct and interpret a 90% confidence interval for the slope of the population regression line. Assume that the conditions for performing inference are met.

Short Answer

Expert verified

We are 90% confident that the slope of the true regression line is between 0.69915114 and 0.98168886.

Step by step solution

01

Given Information

Given:

n=18

SEb=0.08091

02

Explanation

The degrees of freedom is the sample size decreased by 2 :

df=n-2=18-2=16

The critical t-value can be found in table B in the row of d f=16 and in the column of c=90% :

t*=1.746

The boundaries of the confidence interval then become:

localid="1650689704858" b-t*×SEb=0.84042-1.746×0.08091=0.69915114

localid="1650689713665" b+t*×SEb=0.84042+1.746×0.08091=0.98168886

We are 90% confident that the slope of the true regression line is between 0.69915114 and 0.98168886.

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