HomeworkLib
Question

A multiple regression analysis based on a data set that consists of 30 observations yielded the...

A multiple regression analysis based on a data set that consists of 30 observations yielded the following estimated demand equation: Q = 120 – 1.1P + 0.04I + 0.90A where P is price, I is income, and A is advertising. If price is equal to $1,000, income is equal to $20,000, and advertising expenditures are equal to $5,000, then the predicted quantity demanded (Q) is Select one: a. 6,520. b. 4,320. c. 8,015. d. None of these answers is correct.

business   economics   
0 0
Add a comment Improve this question Transcribed image text
Next > < Previous
Sort answers by oldest

Homework Answers

Answer #1

Ans: 4,320

Explanation:

Q = 120 – 1.1P + 0.04I + 0.90A

Substituting the value of P, I, & A

Q = 120 - 1.1(1000) + 0.04(20000) + 0.90(5000)

    = 120 - 1100 + 800 + 4500

    = 4,320

0 0
Add a comment
Know the answer?
Add Answer to:
A multiple regression analysis based on a data set that consists of 30 observations yielded the...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions

  • Since all the Hawkins Company’s costs (other than advertising) are essentially fixed costs, managers want to...

    Since all the Hawkins Company’s costs (other than advertising) are essentially fixed costs, managers want to maximize total revenue (net of advertising expenses). According to a regression analysis (based on 124 observations) carried out by managers, Q = -23 - 4.1P + 4.2I + 3.1A where Q is the quantity demanded of the firm’s product (in dozens), P is the price of the firm’s product (in dollars per dozen), I is per capita income (in dollars), and A is advertising...

  • 1) A firm has estimated the following demand function for its product: Q = 58 -...

    1) A firm has estimated the following demand function for its product: Q = 58 - 2P + 0.10I + 15A where Q is Quantity Demanded per month in thousands, P is product price, I is an index of consumer income, and A is advertising expenditures per month in thousands. Assume that P = $10, I = 120, and A = 10. If so, the income elasticity of demand is a) .06 b) .18 c) .36 d) .86 2.  Assume that...

  • SUMMARY OUTPUT Regression Statistics 0.99 Multiple R Square Adjusted R Square Standard Error Observations 0.97 252...

    SUMMARY OUTPUT Regression Statistics 0.99 Multiple R Square Adjusted R Square Standard Error Observations 0.97 252 Coefficients Standard Emo Stat P-value Lower 95% 95% Intercept 131.92 1776 000 166.73 Price of Good - 118 -634 000 Price of Related Good 1024 097 10.60 0.00 27 1221 Income 030 0.10 300 001 The demand for your produd demands on three factors the price of your good, the price of and good and the average income of your customers Excel estimated the...

  • 5. The following questions refer to this regression equation, (standard errors in parentheses.) (points) + Q...

    5. The following questions refer to this regression equation, (standard errors in parentheses.) (points) + Q = 8,400 (1,732) 10 P + (2.29) 5A (1.36) 4 Px (1.75) + 0.051, (0.15) R2 = 0.65 N = 120 F = 35.25 Standard error of estimate = 34.3 Q = Quantity demanded P = Price = 1,000 A = Advertising expenditures, in thousands - 40 PX = price of competitor's good = 800 I = average monthly income = 4,000 a) Calculate...

  • Exercise 4.8 Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales...

    Exercise 4.8 Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales Y (x 1,000 gallons) as the dependent variable and promotional expenditures A (x $1,000) and selling price P (dollars per gallon) as the independent variables. Y=α+βaA+βpP+εY=α+βaA+βpP+ε Now suppose that the estimate of the model produces following results: α=344.585α=344.585 , ba=0.106ba=0.106 , bp=−12.112bp=−12.112 , sba=0.155sba=0.155 , sbp=4.421sbp=4.421 , R2=0.813R2=0.813 , and F-statistic=10.372F-statistic=10.372 . Note that the sample consists of 10 observations. According to the estimated...

  • From the regression example discussed in class and based on the information below: Regression Statistics Multiple...

    From the regression example discussed in class and based on the information below: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.925 0.856 0.846 0.059 45 ANOVA P dfss SMS 3 0 .85 0.14 440.99 Significance F 0.00 Regression Residual Total 0.28 0.00 81.46 Intercept PRICE INCOME WEATHER Coefficients 13.040 -0.200 1.500 0.124 Standard Error 0.758 0.063 0.079 0.065 Stat P-value 17.1940 .000 -7.904 0.000 13.162 0.000 1.909 0.063 L ower 95% 11.508 -0.627 0.883 -0.007...

  • PART 2 PURPOSE The purpose of this the skill to estimate a demand function using statistical...

    PART 2 PURPOSE The purpose of this the skill to estimate a demand function using statistical software and interpret the findings. assignment is to provide the student with REQUIREMENT Household Manufacturing has collected the following data on quantity sold (Q). price (P), income (I), and advertising (A). Period Quantity, Q Price, P Income, Advertising, A 120 165 120 165 180 8.0 4.0 7.0 4.0 10.0 4.0 19 18 25 150 190 160 10.2 9.3 5.0 10 35 9.5 a Use...

  • Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear...

    Q. 9 The following is a partial regression result of a two-variable model (i.e. simple linear regression). In the study, a health care economist seeks to determine if a relationship exists between personal income and expenditures on health care, both measured in billions of dollars. Regression Statistics Multiple R ??? R Square ??? Standard Error Observations 51 ANOVA df SS MS F P-value Regression 1 15,750.32 0.00001 Residual/Error Total ??? 16,068.21 Coefficients Standard Error t Stat P-value Lower 95% Upper...

  • File b--9 구제 -50 Part Five (answer all parts) 0-1200-50P+1 30) (o9 +00Y+e. (001) You are presented with the following regression eo R2 945,n 44 Q-quantity of Coca-Cola demanded P price of Coca...

    File b--9 구제 -50 Part Five (answer all parts) 0-1200-50P+1 30) (o9 +00Y+e. (001) You are presented with the following regression eo R2 945,n 44 Q-quantity of Coca-Cola demanded P price of Coca-Cola ps = price of Pepsi-Cola Y = consumer income (a)Do the signs of the estimated coefficients correspond with thé theory of demand? (b) Which of the estimated coefficients are significant at alpka Vos? Which are significant at alpha 005 (e) What can you say about the economic...

  • atalog The owner of Showtime Movie Theaters, Inc, le regression analysis to predict gross revenue as...

    atalog The owner of Showtime Movie Theaters, Inc, le regression analysis to predict gross revenue as a function of television advertising and newspaper advertising Weekly Revende (11000) Televison Advertising (1000) Newspaper Mdvertising (1000) The estimated regression equation was 87+ 1.2 - 0.1 The computer solution provided SST - 34,SSR - 22.008 a. Comoute Re (to 3 decimals). 0.977 Compute to decimals). b. when television advertising was the only independent 0.31 and 0. Are the multiple regression analysis results preferable? pps.ng.cengage.com...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT