Based on a sample of n=15, the least-squares method was used to develop the prediction line Yi=6+2Xi. In addition, SYX=1.5, X=3 and ∑i=1nXi−X2=15. Complete parts (a) and (b) below.
Based on a sample of n=15, the least-squares method was used to develop the prediction line Yi=6+2Xi. In addition, SYX=1.5, X=3 and ∑i=1nXi−X2=15. Complete parts (a) and (b) below.
Based on a sample of n=15, the least-squares method was used to develop the prediction line Yi=6+2Xi. In addition, SYX=1.5, X=3 and ∑i=1nXi−X2=15. Complete parts (a) and (b) below.
the least-squares method was used to develop the prediction line
Yi=6+2Xi.
In addition,
SYX=1.5,
X=3
and
∑i=1nXi−X2=15.
Complete parts (a) and (b) below.
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a. Construct a
90%
confidence interval estimate of the population mean response for X=2.
enter your response here≤μY|X=2≤enter your response here
(Round to two decimal places as needed.)
b. Construct a
90%
prediction interval of an individual response for
X=2.
enter your response here≤YX=2≤enter your response here
(Round to two decimal places as needed.)
Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.
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