A business is trying to estimate its costs for the next fiscal year. The business used a regression model to estimate fiscal year costs based on number of employees and number of product launches. The output from the regression model is shown below. P- Coefficients value Intercept 1,000,700 0.01 Number of 200,007 0.03 mployees Number of product launches 3,500,000 0.04 The business has 100 employees. It has no product launches planned. Of the following, which best estimates the costs for the next fiscal year? $20 million O $4.7 million O $3.7 million O $21 million
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- Least Squaes Regression Below is the production cost of Company B. In the future the company management intends to produce the following number of units: A. 56,500 B. 75,000 Determine the Total Cost of producing A and B based on the historical data below.OA linear regression model is Units 3,414-0.839xWeek. For week 45, what is the forecast for the number of units? Round your answer to the nearest whole number. OO unitsThe table to the right contains price-demand and total cost data for the production of projectors, where p is the wholesale price (in dollars) of a projector for an annual demand of x projectors and C is the total cost (in dollars) of producing x projectors. Answer the following questions (A) - (D). (A) Find a quadratic regression equation for the price-demand data, using x as the independent variable. X 270 360 520 780 The fixed costs are $. (Round to the nearest dollar as needed.) ITTI y = (Type an expression using x as the variable. Use integers or decimals for any numbers in the expression. Round to two decimal places as needed.) Use the linear regression equation found in the previous step to estimate the fixed costs and variable costs per projector. The variable costs are $ per projector. (Round to the nearest dollar as needed.) (C) Find the break even points. The break even points are (Type ordered pairs. Use a comma to separate answers as needed. Round to the nearest integer as…
- 12 A production company is studying the relationship between the average cost/unit and number of units produced in a batch. A sample of 10 batches is selected and the data is given below. No. of Units Produced 20 35 50 65 80 95 110 120 135 -150 Cost/unit 37.7158 36.0158 30.8158 27.8158 20.0364 16.9064 14.3766 13.8564 13.9696 13.847i need help with this question 5 from my microeconmics assigments. i have already gotten it wrong twice.:= 1:36 MicrolnternationalProject 5G 49 Done International Aspect of Project Homework Below is an except pasted from a semester project for this course (broken into two pieces). Your task is to respond to this prompt and to cite at least one source. For this assignment, the source may be scholarly or from a periodical. Your source should be documented as a reference using APA style. Be sure to respond to the prompt using concepts from our course. You may use models to illustrate your points. 1. American solar farms receive billions of dollars in taxpayer subsidies each year. These subsidies allow them to substitute grain production for energy production. How do U.S. solar farm subsidies hurt or benefit Mexican farmers? 2. What does this imply for U.S. food production independence? What could be done to address this problem, and would the solution be effective? Notice, having a positive effect, a negative effect or no net-effect is a possibility on Mexican farmers. Whatever your answer,…
- d/My courses / Faculty Of Economics & Administratiive Sciences / ECON309 / Finals / ECON 309 Fin 13. In the simple linear regression model, the regression slope a. O a. indicates by how many percent Y increases, given a one percent increase in X. ut of O b. represents the elasticity of Y on X. uestion Oc. when multiplied with the explanatory variable will give you the predicted Y. O d. indicates by how many units Y increases, given a one unit increase in X. nage2. Which of the following types of regressions will always have a binary outcome variable? (A) Probit (B) Difference-in-differences (C) Regression discontinuity (D) (A) and (B) will both have binary outcome variablesQ4. The Omantel firm has estimate the Sales of fibre internet connections in Oman with the related to advertising expenditure made by the company over the past 26 months. Following is the firm estimated results of the regression equation. DEPENDENT VARIABLE: Y R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 26 0.85121212 8.747 0.0187 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 7.6 6.33232 1.200 0.2643969 3.53 0.52228 ? 0.0001428 a. What is the dependent and independent variables in the above regression equation of Omantel firm? b. Calculate the estimated t-ratio. Test the slope estimates for statistical significance at the 10 percent significance level. d. Interpret the coefficient of determination.
- The regression equation Netincome = 2,049 +.0478 Revenue was estimated from a sample of 100 leading world companies (variables are in millions of dollars). (0-1) If Revenue = 1, then Netincome = (a-2) Choose the correct statement. (b) Choose the right option. (c) O Increasing the revenue raises the net income. Decreasing the revenue raises the net income. O Increasing the revenue lowers the net income. million. (Round your answer to 2 decimal places.) O The intercept is not meaningful because a firm cannot have net income when revenue is zero. The intercept is meaningful because a firm can have net income when revenue is zero. If Revenue = 24,574, then NetIncome = million. (Round your answer to the nearest whole number.)Miles Mowed Labor Month and Cleaned Costs 240 $6,800 305 7,680 325 8,310 275 7,200 220 6,550 200 5,760 75 4,960 April May June July August September October Use the information from the high- and low-volume months to develop a cost-estimating equation for monthly labor costs. Monthly labor costs = $ 3955 + $ 13.4 X Plot the data on a scatter diagram. Using the information from representative high- and low volume months, use the high- low method to develop a cost-estimating equation for monthly labor costs. Monthly labor costs 3,350 + $ = $ Check Adjust the equation developed in requirement (b) to incorporate the effect of an anticipated 5% increase in wages. Monthly labor costs 325 x + $ 14.07 X X 14.07 X X $Question: a) Calculate Regression Analysis of the data. b) Calculate Profit of a shop for 45 units sales