Question

6. An ice cream cone demand regression model is given as:               Y = β0 +...

6. An ice cream cone demand regression model is given as:

              Y = β0 + β1T + β2S + u, where:

Y = number of cones (in thousands) sold per week

T = average temperature during the week

S = the price of a cup of frozen yogurt (a substitute for ice cream) in dollars

a. List the independent variables.   c. How many explanatory variables are there in the model?

b. List the regressors.                      d. List the dependent variables.
e. Give a specific example of an omitted variable that might be in the error term in this model?   

Homework Answers

Answer #1
  • (a) Independent variables are the ones that are changed by the researcher and whose effects are measured. In the above model, there are 2 independent variables i.e T , average temperature during the week and S , the price of a cup of frozen yogurt in dollars.
  • (b) Independent variables are also known as explanatory variables. Therefore in the above model there are 2 explanatory variables.
  • (c) Independent variables are also called regressors. T and S are the regressors in the above model.
  • (d) Dependent variables are the ones that are completely dependent on the independent variables. Y i.e number of cones(in thousand) sold per week is the dependent variable in the above model.
  • (e)Availability of raw materials required in production and their prices can be an example of a variable .
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Consider the following regression model, y = β0 + β1xA + β2xB + β3xA·xB + u...
Consider the following regression model, y = β0 + β1xA + β2xB + β3xA·xB + u (1). Which of the following statements is correct? a. When the partial effect of an explanatory variable xA on the dependent variable depends on the magnitude of another explanatory variable xB, we say explain it by only looking that the coefficient of  xA. b. When there is an interaction effect between variable xA and variable xB, the partial effect of xA on the dependent variable...
Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε...
Using 20 observations, the multiple regression model y = β0 + β1x1 + β2x2 + ε was estimated. A portion of the regression results is shown in the accompanying table: df SS MS F Significance F Regression 2 2.12E+12 1.06E+12 55.978 3.31E-08 Residual 17 3.11E+11 1.90E+10 Total 19 2.46E+12 Coefficients Standard Error t Stat p-value Lower 95% Upper 95% Intercept −986,892 130,984 −7.534 0.000 −1,263,244 −710,540 x1 28,968 32,080 0.903 0.379 −38,715 96,651 x2 30,888 32,925 0.938 0.362 −38,578 100,354...
Your company has been granted an exclusive license to sell ice cream. No one has ever...
Your company has been granted an exclusive license to sell ice cream. No one has ever sold ice cream here before, so you have no idea what the demand will look like. You suspect that people like to buy more ice cream on hotter days, but you are very unsure about what price you should charge to maximize your profit. Over your first season selling ice cream, you vary your price each week for the 10 weeks your license allows...
Consider the following results of a multiple regression model of dollar price of unleaded gas (dependent...
Consider the following results of a multiple regression model of dollar price of unleaded gas (dependent variable) and a set of independent variables: price of crude oil, value of S&P500, price U.S. Dollars against Euros, personal disposal income (in million of dollars) : Coefficient t-statistics Intercept 0.5871 68.90 Crude Oil 0.0651 32.89 S&P 500 -0.0020 18.09 Price of $ -0.0415 14.20 PDI 0.0001 17.32 R-Square = 97% What will be forecasted price of unleaded gas if the value of independent...
The following multiple regression model uses wage, which is hourly earnings in dollars, as dependent variable,...
The following multiple regression model uses wage, which is hourly earnings in dollars, as dependent variable, IQ as in IQ test scores as independent variables to run a regression as follows. STATA commands and outputs are given on the STATA output page. Answer the following questions. (23 points) wage= β0 +β1 IQ + u According to the STATA output, what are the minimum and the maximum for education years (denoted as educ) in the sample? (4 points) Write down the...
Your company has been granted an exclusive license to sell ice cream. No one has ever...
Your company has been granted an exclusive license to sell ice cream. No one has ever sold ice cream here before, so you have no idea what the demand will look like. You suspect that people like to buy more ice cream on hotter days, but you are very unsure about what price you should charge to maximize your profit. Over your first season selling ice cream, you vary your price each week for the 10 weeks your license allows...
Your company has been granted an exclusive license to sell ice cream. No one has ever...
Your company has been granted an exclusive license to sell ice cream. No one has ever sold ice cream here before, so you have no idea what the demand will look like. You suspect that people like to buy more ice cream on hotter days, but you are very unsure about what price you should charge to maximize your profit. Over your first season selling ice cream, you vary your price each week for the 10 weeks your license allows...
Your company has been granted an exclusive license to sell ice cream. No one has ever...
Your company has been granted an exclusive license to sell ice cream. No one has ever sold ice cream here before, so you have no idea what the demand will look like. You suspect that people like to buy more ice cream on hotter days, but you are very unsure about what price you should charge to maximize your profit. Over your first season selling ice cream, you vary your price each week for the 10 weeks your license allows...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 =...
1.    In a multiple regression model, the following coefficients were obtained: b0 = -10      b1 = 4.5     b2 = -6.0 a.    Write the equation of the estimated multiple regression model. (3 pts) b     Suppose a sample of 25 observations produces this result, SSE = 480. What is the estimated standard error of the estimate? (5 pts) 2.    Consider the following estimated sample regression equation: Y = 12 + 6X1 -- 3 X2 Determine which of the following statements are true,...