Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis and the analysis is as follows:
| Average monthly customer visits | 1,690 | ||
| Average monthly total costs | $ | 4,914 | |
| Regression Results | |||
| Intercept | $ | 1,724 | |
| b coefficient | $ | 2.38 | |
| R2 | 0.89113 | ||
Based on the data derived from the regression analysis, what are the estimated costs for 1,500 customer visits in a month? (CMA adapted)
$3,570.
$5,294.
$6,638.
$4,914.
Answer : $ 5,294
Regression Equation = Y=a+bX
Regression equation = $1,724+($ 2.38 *customers Visitts)
Estimated Cost = $ 1,724+($2.38*1,500) = $5,294 (Answer)
Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and...
Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis and the analysis is as follows: Average monthly customer visits 1,474 Average monthly total costs $ 4,644 Regression Results Intercept $ 1,508 b...
Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis and the analysis is as follows: Average monthly customer visits 1,666 Average monthly total costs $ 4,884 Regression Results Intercept $ 1,700 b...
Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis and the analysis is as follows: Average monthly customer-visits 1,462 Average monthly total costs $4,629 Regression Results Intercept $1,496 b coefficient $2.08 R2...
Brewsky's is a chain of micro-breweries. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis and the analysis is as follows: 1462 Average monthly customer visits Average monthly total costs $ Regression Results 1496 Intercept $ s 2.05...
Brews 4 U is a local chain of coffee shops. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis. $ 4.900 49,300 Average monthly customer-visits Average monthly total costs Regression results. Intercept b coefficient $ 45.15 7.34 0.79729...
(2) Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month Machine Hours Electricity Costs January 3,200 $ 18,750 February 3,600 $ 21,700 March 2,600 $ 13,850 April 3,800 $ 23,700 May 4,500 $ 28,600 June 4,000 $ 22,700 July 5,200 $ 25,100 August 4,200 $ 23,100 September 2,700 $ 16,200 October 4,400 $ 26,700...
t) A national sporting good store wishes to use demographic
information to predict its monthly sales, in $1000s. Thrity-eight,
n=38, stores of the chain are randomly chosen across the country.
It is known that each store is approximately the same size and
carries the same merchandise. The geographic area from which a
store draws its customers is known as the customer base. One of the
variables is the percentage of the customer base who have graduated
from high school.
(1...