5. A regression analysis between sales (Y in $1000) and advertising (X in dollars) resulted in the following equation =30,000 + 4 XThe above equation implies that anincrease of $4 in advertising is associated with an increase of $4,000 in salesb. increase of $1 in advertising is associated with an increase of $4 in salesincrease of $1 in advertising is associated with an increase of $4,000 in salesincrease of $1 in advertising is associated with an increase of $34,000 in salesa.с.d.

Solution: 5. Let X be the advertising cost in dollars and Y be the sales in $1000. From the given…

Answered: 5. A regression analysis between sales…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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2. If the coefficient of correlation is a positive value, then the intercept must also be positive b. the coefficient of determination (R square) can be either negative or positive, depending on the value of the slope the slope of the line must be positive d. a. с. the regression equation could have either a positive or a negative slope
You are the Filipino analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. You used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2 If the advertising budgets of one of the branches of the corporation is now $45,000 (which is 10% more than before) and the salary of sales representatives is now $8,500 (which is 20% less than before), then the predicted sales before in that branch is A. $376,700 B. $335,650 C. $417,750 D. $341,250
Using the regression to model annual income, a variable for years of education has a slope = 2000. This means that the model predicts each additional year of education will yield an extra 2,000 for the average person's salary, regardless of how many total years of education a person has. A. True B. False
A hotel is monitoring how the number of increases in price affects the weekly profit. The table models the weekly profit, y, after a given number of price increases, x. Which type of models would best fit the data?
Regression analysis was applied between $ sales (y) and $ advertising (x) across all the branches of a major international corporation. The following regression function was obtained. ý: - 5000 + 7.25x If the advertising budgets of two branches of the corporation differ by $20,000, then what will be the predicted difference in their sales? O $217,500 $222,500 O $145000 O none of the above
An analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. Used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2. If the advertising budgets of one of the branches of the corporation is now $45,000 (which is 10% more than before) and the salary of sales representatives is now $8,500 (which is 20% less than before), then the predicted sales will a. increase by more than 10% b. increase by less than 10% c. decrease by less than 10% d. be the same
You are the Filipino analyst hired by the multinational company to study the sales data of its more than 75 stores worldwide. You used regression analysis to predict $ sales (y) by using $ advertising (x1) and $ salary of sales representatives (x2) across all the branches. You obtained the following regression function: y = 7800 + 8.5x1-1.6x2 If the advertising budgets of one of the branches of the corporation is the same as before and the salary of sales representatives is now 20% less than before, then the predicted sales in that branch will A. increase B. no sufficient information to determine C. decrease D. remain the same
A grocery store is interested in how customers' income affects the amount of money they spend each week. A regression analysis is performed to test this analysis. The results of the analysis are that the intercept is $17.80 and the slope is 0.0012. Based on these results, what is the predicted weekly grocery expenditure (to the nearest cent) for a household with an income of $65,000? $95.80 O$78.00 $45.23 $17.80 Ho: mean weekly expenditure = $78.00
If DI falls by $100 billion, and C falls by $90 billion, the slope of the consumption is a. −0.90.b. 0.50.c. −0.45.d. 0.90.e. 0.45.
A. Develop an estimated regression equation that can be used to predict the price of the stock based on the number of shares of company's stocks sold and the volume of exchange. B. Interpret the coefficients of the estimated regression equation that you found in Part a. C. If in a given day, the number of shares of the company that were sold was 94,500 and the volume of exchange on the New York Stock Exchange was 16 million, what would you expect the price of the stock to be?
An automotive sales manager wishes to examine the relationship between age (years) and sales price ($) for used automobiles of a certain brand. The accompanying table contains data for a sample of a certain make and model that were listed for sale at a car shopping website. b. Fit a quadratic regression model to predict price and state the quadratic regression equation.

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