Question

Analyzing Advertising Expenditure As a data scientist of a company, you want to analyze the following...

Analyzing Advertising Expenditure

As a data scientist of a company, you want to analyze the following data collected by your company which relates the advertising expenditure A in thousands of dollars to total sales S in thousands of dollars. The following table shows this relationship:

Advertising Expenditure (A)

Total Sales (S)

19

325

21

329

21.5

328

23

333

23

331

26

340

27.3

341

  1. Determine if the above relation (A, S) defines a function or not.
  2. Using Excel, draw a scatter diagram of data. Click here (Links to an external site.) for a video explanation on how to create a scatter plot and linear regression.
  3. Using Excel, find the line of the best fit of the models.
  4. Add this line to the scatter diagram.
  5. Interpret the slope and y-intercept of this equation.
  6. Express this equation as a function S of A and find its domain.
  7. Predict the sales if the advertising expenditure is $24000.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The following data represent a company's yearly sales volume and its advertising expenditure over a period...
The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years. Advertising (x) Sales (y) 400,000 6,000,000 500,000 7,200,000 500,000 8,000,000 660,000 7,500,000 790,000 8,900.000 540,000 8,100,000 420,000 5,900.000 380,000 4,000,000 Develop a scatter diagram of sales versus advertising. Include the trendline equation and the coefficient of determination. If the company's advertising expenditure is $315,000, what are the predicted sales? If the company wanted $9,500,000 in sales, what should the advertising budget...
The following data represent a company's yearly sales volume and its advertising expenditure over a period...
The following data represent a company's yearly sales volume and its advertising expenditure over a period of 5 years. (y) sales in millions of dollars (x) advertising in ($10,000) 15 32 16 33 18 35 17 34 16 36 Use the method of least squares to compute an estimated regression line between sales and advertising by computing b0 and b1. If the company's advertising expenditure is $400,000, what are the predicted sales? Give the answer in dollars. What does the...
A company is investigating the relationship between sales and advertising revenue. Data has been collected on...
A company is investigating the relationship between sales and advertising revenue. Data has been collected on these two variables and is shown below (all figures are in £000s): month jan feb mar april may june july aug sept oct nov dec sales 60 60 58 45 41 33 31 25 24 23 23 23 adv 6.0 6.0 6.0 5.8 4.5 4.1 3.3 3.1 2.5 2.4 2.3 2.3 (a) Plot a scatter diagram of the data given in the table above....
The following data represent a company's yearly sales volume and its advertising expenditure over a period...
The following data represent a company's yearly sales volume and its advertising expenditure over a period of 5 years. (Y) Sales in Advertising (X) Millions of Dollars in ($10,000) 15 32 16 33 18 35 17 34 16 36 (a) Compute the coefficient of determination for the estimated regression equation you got in the previous in-class problem. (b) Interpret the meaning of the value of the coefficient of determination that you found in (a). Be very specific. (c) Perform a...
Use the sample data below to answer the following question(s). The paired data consist of the...
Use the sample data below to answer the following question(s). The paired data consist of the cost of regionally advertising (in thousands of dollars) a certain pharmaceutical drug and the number of new prescriptions written (in thousands). submit the file includes the outcomes from excel Cost 9 2 3 4 2 5 9 10 Number 85 52 55 68 67 86 83 73 Find the value of the linear correlation coefficient r. Find the equation of the regression line, letting...
1. For a pair of sample x- and y-values, what is the difference between the observed...
1. For a pair of sample x- and y-values, what is the difference between the observed value of y and the predicted value of y? a) An outlier b) The explanatory variable c) A residual d) The response variable 2. Which of the following statements is false: a) The correlation coefficient is unitless. b) A correlation coefficient of 0.62 suggests a stronger correlation than a correlation coefficient of -0.82. c) The correlation coefficient, r, is always between -1 and 1....