# Question

Consider the following data for two variables, x and y.

a. Develop an estimated regression equation for the data of the form y-bar = b0 + b1x.

Comment on the adequacy of this equation for predicting y.

b. Develop an estimated regression equation for the data of the form y-bar b0 + b1x + b2x2. Comment on the adequacy of this equation for predicting y.

c. Predict the value of y when x = 20.

a. Develop an estimated regression equation for the data of the form y-bar = b0 + b1x.

Comment on the adequacy of this equation for predicting y.

b. Develop an estimated regression equation for the data of the form y-bar b0 + b1x + b2x2. Comment on the adequacy of this equation for predicting y.

c. Predict the value of y when x = 20.

## Answer to relevant Questions

Write a multiple regression equation that can be used to analyze the data for a randomized block design involving three treatments and two blocks. Define all variables. The following data show the daily closing prices (in dollars per share) for IBM for November 3, 2005, through December 1, 2005 (Compustat, February 26, 2006). a. Define the independent variable Period, where Period = 1 ...Money magazine reported price and related data for 418 of the most popular vehicles of the 2003 model year. One of the variables reported was the vehicle's resale value, expressed as a percentage of the manufacturer's ...Average hourly wages for production workers in February 1996 were $11.86; in February 2009, they were $18.55. The CPI in February 1996 was 154.9; in February 2009 it was 212.2. a. Deflate the hourly wage rates in 1996 and ...Use the price data in exercise 18 to compute a Paasche index for the shipping cost if 2009 quantities are 4000, 3000, 7500, and 3000 for each of the four products. In exercise 18Post your question

0