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# Regression

### Determine the Elasticity of Demand of Cars with respect to price of cars, price of gasoline and the GDP.

A client has provided data on the price of cars, the price of gasoline, the quantity of new cars sold in USA. Gross Domestic Product per capita is also observed. Using regression technique, use the data to estimate the following log linear market demand equation for new cars. ln Q(cars) = 5 - 2.4 ln P(cars) - 1.2 ln P(gasolin

### Biased Estimators True or False Question

True or false. High collinearity among explanatory variables leads to biased point estimates, since high collinearity increases the variance of the estimates. Explain what this means and why or why not?

### A labor economist estimates a regression of log earnings on schooling (s), experience (e), ability (a, as measured by IQ), and interactions between schooling and experience, and ability and experience

A labor economist estimates a regression of log earnings on schooling (s), experience (e), ability (a, as measured by IQ), and interactions between schooling and experience, and ability and experience, and obtains the following estimates (assume all estimate are statistically significant): In (Y) = 9.90 + .07S +.03E +.04A -

### The Regression Result Discharge

Please see attached. Thanks! The regression results use the discharge of CO2 in metric tons from transportation in the US from 1949 to 2006 as the dependent variable. The independent variable, t, is calculated at the year minus 1948, so t=1 for 1949, t = 2 for 1950, and so on until t = 58 for 2006. Use the results to answe

### calculate the regression

Somewhere in the Milky Way Galaxy, a class of 2,000 students took a course in Astronomy. The first exam scores and the final exam percentage reached earth, but transmission broke off after only a dozen students' scores were received. This is the only information available about that class. That information is in the table bel

### Production Function that Can Be Easily Transformed to Linear

A major advantage of the __________________ production function is that it can be easily transformed into a linear function, and thus can be analyzed with the linear regression method. cubic power quadratic none of the above.

### For the regression equation Q = 100 - 10X1 + 25X2, which of the following statements is true?

For the regression equation Q = 100 - 10X1 + 25X2, which of the following statements is true? X2 is the more important variable because it is positive When X1 decreases by one unit, Q decreases by 10 units. When X1 increases by 10 units, Q decreases by 1 unit. When X1 increases by one u

### Economic modeling and forecasting future events

Evaluate the following statement: "It is easier to build an economic model that accurately reflects events that have already occurred than to build an economic model to forecast future events." Do you think that this is true or not? Why? What does this imply about the difficulties of building good economic models? Thank you

### Production

A major advantage of the __________________ production function is that it can be easily transformed into a linear function, and thus can be analyzed with the linear regression method. Cubic Power Quadratic None of the above

### From a management policy perspective, which regression result is the most useful?

From a management policy perspective, which regression result is the most useful? a regression equation that passes the F-test. a regression equation whose explanatory variables all passed the t-test. a regression equation that has the highest R2. a regression equation that has the least n

### R2 of a Regression Equation

When the R2 of a regression equation is very high, it indicates that: All the coefficients are statistically significant. The intercept term has no economic meaning. A high proportion of the variation in the dependent variable can be accounted for by the variation in the independent variables. There is a g

### Which of the following refers to a relatively high correlation among the independent variables of a regression equation?

Which of the following refers to a relatively high correlation among the independent variables of a regression equation? autocorrelation the identity problem statistically insignificant regression coefficients multicolinearity

### A Taiwan electronics company exports personal computers (PCs) to the U.S.

1.A Taiwan electronics company exports personal computers (PCs) to the U.S. Their PC sales (in thousands) over the past five years are given below: Year Sales 1 6 2 9 3 13 4 15 5 20 WHat is the regression equation if the company wants to predict sales? a.Y = 2.4 + 3.4X b

### Regression Model - Potential Sales

You have been hired as an economic analyst, your job is to use the Regression Model to estimate potential sales of your employer's product. Knowing that the "dependent variable" Q is the potential sales or quantity demanded, discuss the independent variables you will included in your analysis including their units of measurement

### forecast electricity cost

Please see the attached file. Explain your answer briefly and clearly, showing any necessary calculations. Your answer should be in an Excel file. 1. Westminster Company has had the following experience over the past five quarters: Units produced Electricity cost (\$)

### Economics - Overheard at the water cooler

Overheard at the water cooler: My regression model of demand is better than the one that the consultant prepared for us because it has a higher R2. Besides, my equation has three more independent variables and so is more complete then the consultant's. Comment on this statement. Would you agree with the speaker? Explain.

### You have been retained to assist a regional food marketer, FoodKing

You have been retained to assist a regional food marketer, FoodKing, to forecast the demand for pies that are mass-produced and marketed under the name Ms. Smith's Homemade Pies. To assists with your analysis, you are provided with data that was collected for 8 consecutive quarters and 6 geographic markets. If you use Excel or a

### Management Science

You are the team leader of a unit of a US nonprofit organization based in Banjul Gambia (Capital City). The nonprofit's mission is to ensure that rural populations worldwide have access to health and sanitation-related supplies. Due to the sudden departure of one of your team leaders, you are taking over responsibility for orde

### Which regression is recommended for forecasting future sales and price?

Qty. Price Advertise Distance 180 475 1100 120 590 400 2400 65 430 450 1500 50 250 550 3100 75 275 575 3400 45 720 375 2200 20 660 375 1200 50 490 450 2400 75 700 400 2200 45 210 500 1000 55 A firm's marketing dept. obtained data from 10 of the firm's outlets. The data consists of the qty. and price of the product

### Short Run Costs

1. A firm experiences increasing returns to scale; that is, doubling all its inputs more than doubles its output. What can be inferred about the firm's short-run costs i.e. what is the connection between economies of scale and the short run average variable cost? 2. Which indicator(s) will always improve when more variables

### Regression Equation/Short Run Cost

Please complete the following two questions: 1. Which indicator(s) will always improve when more variables are added to a regression equation? 2. A firm experiences increasing returns to scale; that is, doubling all its inputs more than doubles its output. What can be inferred about the firm's short-run costs?

### Singapore Certificate of Entitlement

Estimating Successful Bid Price of Singapore Certificate of Entitlement. See attached file for full problem description.

### Conceptual questions on microeconomics

A firm used a combination of inputs that was to the left of its isocost line, it would indicate that a. it is exceeding its budget. b. it is not spending all of its budget. c. it is operating at its optimal point because it is saving money. d. None of the above. When the exponents of a Cobb-Douglas production func

### Standard deviation of the returns

1. Consider the single-index model. The alpha of a stock is 0%. The expected return on the market is 12%. The risk-free rate of return is 6%. The expected return on the stock exceeds the risk free rate by 10%. What is the beta of the stock? 2. You estimate an index (CAPM) model running a regression of rHP - rf on a constant a

### Multiple regression analysis for profit margins for Columbia.

1. Describe the overall explanatory power of this regression model, as well as the relative importance of each continuous variable. (attached) 2. Based on the importance of the binary or dummy variable that indicates superstore competition, do superstores pose a serious threat to Columbia's profitability? 3. What factors m

### Tax Rates at Levels of GDP

See attached file for full problem description.

### Demand Analysis

In the volume, Consumer Demand in the United States: Analyses and Projections (Cambridge, Mass.: Harvard University Press, 1970), H.S. Houthakker and L.D. Taylor presented the following results for their estimated demand equation from 1929 to 1961 (excluding the 1942 through 1945 war year in the United States: Qt = 19.575

### Explain the gender-wage gap using Human Capital theory

There is a large gap between the earnings of married women and married men, even if individuals of both sex have the same level of education. Everyone knows there is sexual discrimination. Few people know, however, that certain aspects of Human Capital theory can explain over 38% of the gap. How so? Explain in detail and

### Forecast Aggregate Demand by Month for the year 2005

Question: Forecast Aggregate Demand by Month for the year 2005 (See Excel attachment for the past forecast from January - December 2000 to January to December 2004. (It may be easier to use Excel). See attached file for full problem description.

### Interpreting regression analysis results between firm size and profitability

Table 10.2 Effects of Firm Size on Profitability (t statistics are in parentheses) Dependent Variable Size Measure Intercept Size Coefficient R Squared F Statistic Profits Sales 2,560.5660 0.0497 36.1% 15.8 (2.2900) (3.98) Profits Net Worth 723.9516 0.01491 64.6% 51.6 (0.80) (7.15) Profit margin (MGN