1. Stock prices over a period of fifty (50) years would most likely exhibit no cyclical component. a. True b. False 2. On the plot labeled “a”, which of the following is correct? a. There is a trend present. b. There is a linear relationship. c. There is an obvious outlier. d. There is a negative relationship. 3. On the plot labeled “b”, there is an outlier present. a. True b. False 4. On the plot labeled “c”, which of the following models is most appropriate? a. single-parameter exponential smoothing b. regression c. regression with seasonality (classical time-series) d. none of the above are appropriate 5. In a simple linear regression, we are …show more content…
Mr. Foster estimates that the goodwill cost of each item short is close to $0.25. A Christmas-tree model is appropriate. a. True b. False 12. A regular EOQ model is appropriate when demand is seasonal. a. True b. False 13. See the attached “Regression Data I”. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. First, run a model to predict the profit. Select all which apply. a. Radios is a significant predictor. b. TVs is a significant predictor. c. DVDs is a significant predictor. d. The overall model is significant. e. The intercept is positive. f. Severe multicollinearity is present. 14. See the attached “Regression Data I”. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. Next, run a model to predict the cost. Select all which apply. a. Radios is a significant predictor. b. TVs is a significant predictor. c. DVDs is a significant predictor. d. The overall model is significant. e. The intercept is positive. f. Severe multicollinearity is present. 15. See the attached “Regression Data I”. We are using the number of radios, TVs, and DVD players stocked to predict the profit, revenue, and cost for future periods. Based on the output,
Using the data and your own economic knowledge, assess the case for financing universities mainly through charging fees to their students.
The case involves the decision to locate a new store at one of two candidate sites. The decision will be based on estimates of sales potential, and for this purpose, you will need to develop a multiple regression model to predict sales. Specific case questions are given in the textbook, and the necessary data is in the file named pamsue.xls.
Seven models were created in order to obtain the model in which all-remaining variables are statistically significant and the final equation to predict sales is as follow:
2. On the course website is an Excel file that contains demand and forecast data for a
A firm has decided through regression analysis that its sales (S) are a function of
The purpose of this case is to determine which key variables drive Crusty Pizza Restaurant’s monthly profit and then forecast what the monthly profit would be for potential stores. Based off of this information we will be able to make a recommendation to Crusty Dough Pizza Restaurant on which stores they should open and which they avoid. The group was provided 60 restaurants’ data that included monthly profit, student population, advertising expenditures, parking spots, population within 20 miles, pizza varieties, and competitors within 15 miles. For the potential stores we were given all of this
Table 6.1.1 displays the matlab output of beta, standard error, t-statistic and p-value for the two independent variables during 10-year period. It is found that beta of X1 is 0.2750 which indicates there is a positive relationship between the utilities excess return and the healthcare excess return. This positive relationship is statistically significant as the p-value is close to 0 which is much less than the significance level of 5%. In addition, the standard error of X1 is 0.0300 which represents the average distance that the observed values fall from the regression line. This indicates that the model fits the data. In contrast, it is found that the material excess return is negatively
In our second assumption, instead of using the cost of goods per cases in 1986, we try to use the percentage it counts in the total expenses which is 50.4% and to find the sales needed to break-even. The detail of the calculation is shown in the answer for questions d. The result is that 95,635, a little bit higher than the estimated sales of 90,000.
2.) For each expense that is variable with respect to revenue hours, calculate the cost per revenue hour.
In an attempt to improve this model, we attempt to do a multiple regression model predicting SALES based on CALLS, TIME, and YEARS.
In this particular case, Randy will need to assign the correct numbers to the correct category. For the purposes of this case study, assume T will equal 1 to make the equation represent one year of employment in one of the ice cream shops. For following variables, Nn will equal 50 as there will be 50 applicants total selected to be hired, rxy will represent .30 in one equation representing the interview and job performance and in the other equation, it will represent .50 which will represent the work sample predictor and job performance, SDy will be chosen to represent .20, Ẑs will be .80 because it will be the predictor score of the selected applicants, Na will represent 100, as that is the total number of applicants that submitted applications, and Cy will represent the cost per applicant in the interview and job performance in one equation as 100 and it will represent 150 in the other equation for work sample and job
In this way, the Fed manages price inflation in the economy. So bonds affect the U.S. economy by determining interest rates. This affects the amount of liquidity. This determines how easy or difficult it is to buy things on credit, take out loans for cars, houses or education, and expand businesses. In other words, bonds affect everything in the economy. Treasury bonds impact the economy by providing extra spending money for the government and consumers. This is because Treasury bonds are essentially a loan to the government that is usually purchased by domestic consumers. However, for a variety of reasons, foreign governments have been purchasing a larger percentage of Treasury bonds, in effect providing the U.S. government with a loan. This allows the government to spend more, which stimulates the economy. Treasury bonds also help the consumer. When there is a great demand for bonds, it lowers the interest rate.
1) According to the Law of Demand, the demand curve for a good will A) shift leftward when the price of the good increases. B) shift rightward when the price of the good increases. C) slope downward. D) slope upward. Answer: C 2) An increase in the price of pork will lead to A) a movement up along the demand curve. B) a movement down along the demand curve. C) a rightward shift of the demand curve. D) a leftward shift of the demand curve. Answer: A 3) An increase in consumer incomes will lead to A) a rightward shift of the demand curve for plasma TVs. B) a movement upward along the demand curve for plasma TVs. C) a rightward shift of the supply curve for plasma TVs. D) no change of the demand curve for plasma TVs. Answer:
For both financing alternative, develop a model that shows forecasted revenues, expenses, profits, and free cash flows generated by Harmonic in years one through seven.