Exhibit 9.2
The following questions are based on the problem description and spreadsheet below.
A paint manufacturer is interested in knowing how much pressure in pounds per square inch,PSI)builds up inside aerosol cans at various temperatures degrees Fahrenheit).It has developed the following Excel spreadsheet of the results.

-Refer to Exhibit 9.2.What is the estimated regression function for this problem? Explain what the terms in your equation mean.
$$\widehat { \mathrm { Y } } _ { \mathrm { i } } = 38.1923 + 1.2447 \mathrm { X } _ { \mathrm { l i} }$$

Question

Exhibit 9.2
The following questions are based on the problem description and spreadsheet below.
A paint manufacturer is interested in knowing how much pressure in pounds per square inch,PSI)builds up inside aerosol cans at various temperatures degrees Fahrenheit).It has developed the following Excel spreadsheet of the results.
 
-Refer to Exhibit 9.2.What is the estimated regression function for this problem? Explain what the terms in your equation mean.
 $$\widehat { \mathrm { Y } } _ { \mathrm { i } } = 38.1923 + 1.2447 \mathrm { X } _ { \mathrm { l i} }$$

Quizplus · Accepted Answer

The Answer of Exhibit 9.2
The following questions are based on the problem description and spreadsheet below.
A paint manufacturer is interested in knowing how much pressure in pounds per square inch,PSI)builds up inside aerosol cans at various temperatures degrees Fahrenheit).It has developed the following Excel spreadsheet of the results.
 
-Refer to Exhibit 9.2.What is the estimated regression function for this problem? Explain what the terms in your equation mean.
 $$\widehat { \mathrm { Y } } _ { \mathrm { i } } = 38.1923 + 1.2447 \mathrm { X } _ { \mathrm { l i} }$$

Exhibit 92 the Following Questions Are Based on the Problem Description

Exhibit 92
the Following Questions Are Based on the Problem Description