For the past 10 years, you have been observing the sales of your company since you embarked on an aggressive advertising campaign. You have been recording the amounts spent on advertising and the corresponding sales as follows: Year Advert (X) Sales (Y) 2001 10 44 2002 9 40 2003 11 42 2004 12 46 2005 11 48 2006 12 52 2007 13 54 2008 13 58 2009 14 56 2010 15 60   You would like to determine whether a relationship exists between your two variables of interest and therefore decide to run a regression. Specify the estimation model you will use (the econometric form). Identify the independent and the dependent variables. Use an econometric package of your choice (EViews, SPSS, STATA etc) to estimate the model. From the regression output, report the coefficients, standard errors, t-statistics, probability and R-squared (report the results in a table). Re-write the specified model in (a) with values from the regression results and interpret the coefficients.

College Algebra
10th Edition
ISBN:9781337282291
Author:Ron Larson
Publisher:Ron Larson
Chapter5: Exponential And Logarithmic Functions
Section5.5: Exponential And Logarithmic Models
Problem 4ECP
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For the past 10 years, you have been observing the sales of your company since you embarked on an aggressive advertising campaign. You have been recording the amounts spent on advertising and the corresponding sales as follows:

Year

Advert (X)

Sales (Y)

2001

10

44

2002

9

40

2003

11

42

2004

12

46

2005

11

48

2006

12

52

2007

13

54

2008

13

58

2009

14

56

2010

15

60

 

You would like to determine whether a relationship exists between your two variables of interest and therefore decide to run a regression.

  1. Specify the estimation model you will use (the econometric form).
  2. Identify the independent and the dependent variables.
  3. Use an econometric package of your choice (EViews, SPSS, STATA etc) to estimate the model.
  4. From the regression output, report the coefficients, standard errors, t-statistics, probability and R-squared (report the results in a table).
  5. Re-write the specified model in (a) with values from the regression results and interpret the coefficients.
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