# Question: Amalgamated Power Inc has asked you to estimate a regression

Amalgamated Power, Inc., has asked you to estimate a regression equation to determine the effect of various predictor variables on the demand for electricity sales. You will prepare a series of regression estimates and discuss the results using the quarterly data for electrical sales during the past 17 years in the data file Power Demand.

a. Estimate a regression equation with electricity sales as the dependent variable, using the number of customers and the price as predictor variables. Interpret the coefficients.

b. Estimate a regression equation (electricity sales) using only number of customers as a predictor variable. Interpret the coefficient and compare the result to the result from part a.

c. Estimate a regression equation (electricity sales) using the price and degree days as predictor variables. Interpret the coefficients. Compare the coefficient for price with that obtained in part a.

d. Estimate a regression equation (electricity sales) using disposable income and degree days as predictor variables. Interpret the coefficients.

a. Estimate a regression equation with electricity sales as the dependent variable, using the number of customers and the price as predictor variables. Interpret the coefficients.

b. Estimate a regression equation (electricity sales) using only number of customers as a predictor variable. Interpret the coefficient and compare the result to the result from part a.

c. Estimate a regression equation (electricity sales) using the price and degree days as predictor variables. Interpret the coefficients. Compare the coefficient for price with that obtained in part a.

d. Estimate a regression equation (electricity sales) using disposable income and degree days as predictor variables. Interpret the coefficients.

## Answer to relevant Questions

Transportation Research, Inc., has asked you to prepare some multiple regression equations to estimate the effect of variables on fuel economy. The data for this study are contained in the data file Motors, and the dependent ...A regression analysis has produced the following analysis of variance table: a. Compute se and s2ε. b. Compute SST. c. Compute R2 and the adjusted coefficient of determination. The following are results from a regression model analysis: The numbers below the coefficient estimates are the estimated coefficient standard errors. a. Compute two-sided 95% confidence intervals for the three regression ...Refer to the data of Example 12.7 with the data file Citydatr. a. Find 95% and 99% confidence intervals for the expected change in the market price for houses resulting from a one-unit increase in the mean number of rooms ...Given the following estimated linear model y` = 10 + 2x1 + 12x2 + 8x3 a. What is the change in yn when x1 increases by 4? b. What is the change in yn when x3 increases by 1? c. What is the change in yn when x2 increases by ...Post your question