Question

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.             

Sales (Millions)

Advertising ($10,000)

15

32

16

33

18

35

17

34

16

36

19

37

19

39

24

42

To make sure the Excel regression package is installed.

Click “Tools”, à“Add-Ins” àchoose “Analysis Toolpak” and click “OK”.

To use the Excel regression package,                                                      

Click “Tools”, à“Data Analysis” and click “Regression”.

   f.    Use the F test to determine whether or not the regression model is significant at a= 0.05.

            g.   Use the t test to determine whether the slope of the regression model is significant at a= 0.05.

            h.         Develop a 99% confidence interval for the slope of the regression model

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 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...
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. (Y) Sales in Millions of Dollars (X) Advertising in ($10,000) 15 32 16 33 18 35 17 34 16 36 19 37 19 39 24 42 Develop a 95% confidence interval for predicting the average sales for the years when $400,000 was spent on advertising. i. Compute the correlation coefficient. alpha=5 urgently need detailed solution please
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...
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 Determine if the above relation (A, S) defines a function or not. Using Excel, draw...
In order to determine whether or not the sales volume of a company (y in millions...
In order to determine whether or not the sales volume of a company (y in millions of dollars) is related to advertising expenditures (x1 in millions of dollars) and the number of salespeople (x2), data were gathered for 10 years. Part of the Excel output is shown below. ANOVA df SS MS F Regression 321.11 Residual 63.39 Coefficients Standard Error Intercept 7.0174 1.8972 x1 8.6233 2.3968 x2 0.0858 0.1845 a. Use the above results and write the regression equation that...
Marketing date on sales is presented for youtube. data are the advertising budget in thousands of...
Marketing date on sales is presented for youtube. data are the advertising budget in thousands of dollars along with the sales. The experiment has been repeated 200 times with different budgets and the observed sales have been recorded. The simple linear regression model was fitted: ## ## Call: ## lm(formula = sales ~ youtube, data = marketing) ## ## Residuals: ## Min 1Q Median 3Q Max ## -10.06 -2.35 -0.23 2.48 8.65 ## ## Coefficients: ## Estimate Std. Error t...
The following data is collected on the sales rate based on income and advertising for a...
The following data is collected on the sales rate based on income and advertising for a given zip code. Please use multiple regression to develop a forecast model to predict sales for this product, and answer the question below: Income Advertising Sales 52 25 20 40 17 14 73 50 30 83 60 35 110 100 40 125 105 42 66 53 28 45 48 22 47 30 19 58 40 26 35 22 10 39 30 13 Which equation...
Question 3: The following data shows the yearly income (in $1000) and age of a sample...
Question 3: The following data shows the yearly income (in $1000) and age of a sample of seven individuals. Income (in $1000) Age 20 18 24 20 24 23 25 34 26 24 27 27 34 27 ​ Develop the least squares regression equation. Estimate the yearly income of a 30-year old individual. Compute the coefficient of determination. Use a t test to determine whether the slope is significantly different from zero. Use level of significance as 0.05.
Consider the following data on price ($) and the overall score for six stereo headphones tested...
Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) Score A 180 78 B 150 71 C 95 63 D 70 58 E 70 38 F 35 28 (a) The estimated regression equation for this data is ŷ = 24.060 + 0.319x, where x...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a spreadsheet to conduct an analysis of variance with α=0.05α=0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 12 12 16 12 11 18 12 13 15 11 14 17 13 15 19 F-ratio = p-value = The results obtained above were primarily due to the mean for the third...