A toy company uses a linear model y=-2x + 380 to predict the decline in sales...
The following linear regression model can be used to predict ticket sales at a popular water park (the correlation is significant). Ticket sales per hour = -631.25 + 11.25(current temperature in °F) What is the predicted number of tickets sold per hour if the temperature is 86°F?
Neptune Company produces toys and other items for use in beach and resort areas. A small, inflatable toy has come onto the market that the company is anxious to produce and sell. The new toy will sell for $2.70 per unit. Enough capacity exists in the company's plant to produce 30,200 units of the toy each month. Variable expenses to manufacture and sell one unit would be $1.72, and fixed expenses associated with the toy would total $43,894 per month....
Neptune Company produces toys and other items for use in beach and resort areas. A small, inflatable toy has come onto the market that the company is anxious to produce and sell. The new toy will sell for $2.80 per unit. Enough capacity exists in the company’s plant to produce 30,800 units of the toy each month. Variable expenses to manufacture and sell one unit would be $1.78, and fixed expenses associated with the toy would total $46,624 per month....
Part 1: Model Building 1. Submit both this word and excel file 2. Keep two decimal places for your answer Using the data Reynolds.xls. The variables are defined as: Sales (Y) =number of electronic laboratory scales sold Months (X) =the number of months the salesperson has been employed 1. Develop the scatter plot using Sales as y axis and Months as x axis, and can you see the curvature? 2. Using a simple linear regression model to develop an estimated...
Management proposed the following regression model to predict sales at a fast-food outlet. y Po + P, +B,+Bt,+e where number of competitors within one mile x,= population within one mile (1000s) lif drive-up window present O otherwise y= sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. =10.7-4.81 +6.1a2 +15.23 a. What is the expected amount of sales attributable to the drive-up window? b.Predict sales for a store with two competitors, a population of 8,000...
4.. Net Present Value. (CMA adapted) Crescent Industries is a toy manufacturer that will have excess capacity at its single plant after 20x2. Crescent's management is currently studying two alternative proposals that would utilize the excess capacity. Proposal Crescent has been approached by Happy-Toys, one of its competitors, to manufacture a partially completed toy car. Happy-Toys, owner of the distribution rights for the toy car, would finish the cars in its plant and then market the cars. The Happy-Toy car...
Question 14 XYZ Company uses the formula y = a + bX to predict and analyze overhead costs. In the previous year, XYZ used $1,750 per month for the a factor and $0.35 for the b factor in applying overhead. XYZ has used direct labour hours in the past, but is wondering whether overhead behaviour is more closely associated with machine hours. The following data have been generated for consideration: Month Machine Hours Overhead Costs 1 414 $2,752 2 487...
4. The local association of car salesmen de predict car sales each month (number of units unemployment rate (in percent terms, e.g number of cars sold in this city du clation of car salesmen develop a linear regression equation to ar sales each month (number of units sold) based on the local e in percent terms, e.g. 7.2%). The following data represents the cars sold in this city during these months, with the local unemployment rate. Y2 = 338150 X...
Question 14 XYZ Company uses the formula y = a + bX to predict and analyze overhead costs. In the previous year, XYZ used $1,750 per month for the a factor and $0.35 for the b factor in applying overhead. XYZ has used direct labour hours in the past, but is wondering whether overhead behaviour is more closely associated with machine hours. The following data have been generated for consideration Month Machine Hours Overhead Costs 431 477 406 490 504...
Management proposed the following regression model to predict sales at a fast-food outlet. y Po+ BBx, +B,x, +e where number of competitors within one mile x, x2 population within one mile (1000s) drive-up window present l0 otherwise y sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. i-10.5-4.3 +6.2 +15.5z3 a. What is the expected amount of sales attributable to the drive-up window? b. Predict sales for a store with two competitors, a population of...