Need 12.13 problem 12-3. The LawnPlus Fertilizer Company distributes fertilizer tovarious lawn and garden shops. The company must base itsquarterly prodoction schedule on a forecast of baw manytons of fertilizer will be demanded from it. The companybas gathered the following data for the past three yearsfrom its sales records.12-YearQuarterDemand for FerlUzer (ton)1052150934.1212140170105150150101701111012130a. Compute a three-quarter moving average forecast forquarters 4 through 13 and compute the forecast errorfor each quarter.b. Compute a tive-quartering average forecast forquarters 6 through 13 and compute the forecast errorfor each quarter.c. Compute a weighted three-quarter moving averageforecast using weights of 0.50, 0.33, and 0.17 for themost recent, next recent, and most distant data, respec-tively, and compute the forecast error for each quarter.d. Compare the forecasts developed in parts (a), (b), and(c) using cumulative error. Which forecast appears tobe most accurate? Do any exhibit any bias? Il óf the seasonally12-13. Develop a seasonally adjusted forecast for the demand datafor fertilizer in Problem 12-3. Use a linear trend line modelto compute a forecast estimate for demand in year 4.not'a Diggo delivery service has randomly selected

Answered: Lus Fertilizer Company distributes…

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015

1st Edition

ISBN:9781680331141

Author:HOUGHTON MIFFLIN HARCOURT

Publisher:HOUGHTON MIFFLIN HARCOURT

Chapter4: Writing Linear Equations

Section: Chapter Questions

Problem 14CR

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2. Creates market power in the Illarket of Nepal. Suggest the role of NRB to prevent market failure in this situation on the Consider the following data for sales of biscuits produced in Nepal for 5 years. a. Year 2017 2018 2019 2020 2021 Price (Rs) 20apital 18 16 14 12 Sales expenditure (Rs in million) 2626 be 10 PY 15 22 26 37 Sales of Biscuit (1000 units) 30 2 40 52 58 70 Derive the trend line equation and forecast the sales of Biscuits for no slow Vegular fintis 6 2022. b. (1) Derive linear demand function of biscuits on price and estimate the sales for 2023 when price decreases to Rs 10. (i) Derive linear demand function of biscuits on sales expenditure and estimate the sales for 2023 when sales expenditure increases to Rs 40 million. (iii) Which strategy will be effective to promote of sales of biscuits in 20232 Justify it by using the value of price and sales elasticities. P.T.O.
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20) Which of the following is not an assumption about the data when using CVP analysis? Total fixed costs remain at a constant level and variable costs per unit remain unchanged at all sales levels. More inventory is purchased than sold. A linear relationship exists between variable costs and sales activity over the relevant range of interest. All costs can be easily and accurately separated into fixed and variable components.
In economics we are often faced with causal problems where the endogeneity arises because of simultaneity. A classic example is that if you are interested in estimating a demand curve, the issue is what you observe in the data are equli- birum and prices and quantity which is not only a function of demand but also a function of supply. In this excercise we will generalize the problem of simultaneity bias. Consider a situation where we are interested in the effect of Ti on Yi, i.e. obtaining a consistent estimate of α. But Yi also effects Ti. Let Xi be some exogenous covariates affecting both Yi and Ti. Let us imagine you have an exogenous variable Z which only effects Ti but does not directly effect Yi. In particular, consider the following structural equations: Yi = αTi+Xi′β+ui (1) Ti = ρYi+Xi′γ+Ziδ+νi (2) where E(ui | Xi,Zi) = 0 and E(vi | Xi,Zi) = 0 (a) Show why you cannot you use OLS to estimate α consistently in model 1? (b) Solve for the reduced form equation for Ti…
Suppose a researcher believes that the occurrence of natural disasters such as earthquakes leads to increased activity in the construction industry. he decides to collect province-level data on employment in the construction industry of an earthquake-prone country, like Japan, and regress this variable on an indicator variable that equals 1 if an earthquake took place in that province in the last five years. a. Should the researcher include province fixed effects in order to control for location specific characteristics of the labor market? b. What can the researcher to control for the location effects?
Assume we have data demonstrating a strong linear link between the amount of fertilizer applied to certain plants and their yield. Which is the independent variable in this research question?
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1. A change of a dependent variable is all due to a manipulation of intended independent variables . Explain, with an example, why this statement can be inaccurate . Explain why cause of a regression model can also fail to discover a causal relationship

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