Based on a sample of n=28​,the​ least-squares method was used to develop the prediction line Yi=8+4Xi. In​ addition, SYX=2.8, X=10​, and ∑i=1nXi−X2=28. Complete parts​ (a) through​ (c) below. Question content area bottom Part 1 a. Construct a 90​% confidence interval estimate of the population mean response for X=2. ≤μY|X=2≤ = ​(Round to two decimal places as​ needed.) Part 2 b. Construct a 90​% prediction interval of an individual response for X=2. ≤YX=2≤ = ​(Round to two decimal places as​ needed.) Part 3 c. Compare the results of​ (a) and​ (b) with those forX=10​, which are 47.10≤μY|X=10≤48.90 and 43.14≤YX=10≤52.86. Which intervals are​ wider? Why? The intervals for X= ▼ 22 1010 are wider because X=10 is ▼ different from equal OR equal to The mean X.

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Based on a sample of n=28​,the​ least-squares method was used to develop the prediction line Yi=8+4Xi. In​ addition, SYX=2.8, X=10​, and ∑i=1nXi−X2=28.
Complete parts​ (a) through​ (c) below.
 
 
 

Question content area bottom

Part 1
a. Construct a 90​% confidence interval estimate of the population mean response for X=2.
 
≤μY|X=2≤  =
​(Round to two decimal places as​ needed.)
Part 2
b. Construct a 90​% prediction interval of an individual response for
X=2.
 
≤YX=2≤  = 
​(Round to two decimal places as​ needed.)
Part 3
c. Compare the results of​ (a) and​ (b) with those forX=10​, which are 47.10≤μY|X=10≤48.90 and 43.14≤YX=10≤52.86.
Which intervals are​ wider? Why?
 
The intervals for X= ▼ 22 1010 are wider because X=10 is
  different from equal OR equal to The mean X.
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