Garfield Company manufactures a popular brand of dog repellant known as DogGone It, which it sells in gallon-size bottles with a spray attachment. The majority of Garfield's business comes from orders placed by homeowners who are trying to keep neighborhood dogs out of their yards. Garfield's operating information for the first six months of the year follows: Month January Operating Cost Number of Bottles Sold 1,000 $ 10,500 February 1,400 15,740 March 1,750 15,800 April 2,400 19,675 3,480 27,245 3,625 34,755 May June Required: 3. Using the high-low method, calculate Garfield's total fixed operating costs and variable operating cost per bottle. 4. Perform a least-squares regression analysis on Garfield's data. 5. Determine how well this regression analysis explains the data. 6. Using the regression output, create a linear cost equation (y = a + bx) for estimating Garfield's operating costs. Complete this question by entering your answers in the tabs below. Required 3 Required 4 Required 5 Required 6 Determine how well this regression analysis explains the data. Note: Round your regression statistics to three decimal places and, observation and percentage answer to the nearest whole number. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations From the regression output, number of bottles explains about % of the variability in Garfield's total cost.
Garfield Company manufactures a popular brand of dog repellant known as DogGone It, which it sells in gallon-size bottles with a spray attachment. The majority of Garfield's business comes from orders placed by homeowners who are trying to keep neighborhood dogs out of their yards. Garfield's operating information for the first six months of the year follows: Month January Operating Cost Number of Bottles Sold 1,000 $ 10,500 February 1,400 15,740 March 1,750 15,800 April 2,400 19,675 3,480 27,245 3,625 34,755 May June Required: 3. Using the high-low method, calculate Garfield's total fixed operating costs and variable operating cost per bottle. 4. Perform a least-squares regression analysis on Garfield's data. 5. Determine how well this regression analysis explains the data. 6. Using the regression output, create a linear cost equation (y = a + bx) for estimating Garfield's operating costs. Complete this question by entering your answers in the tabs below. Required 3 Required 4 Required 5 Required 6 Determine how well this regression analysis explains the data. Note: Round your regression statistics to three decimal places and, observation and percentage answer to the nearest whole number. Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations From the regression output, number of bottles explains about % of the variability in Garfield's total cost.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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