Regression
posted by Peter .
1)Price of COke
2)Price of Pizza
3)Price of Beef
4)Quantity of Beef
5)Income
1) List and explain each of the components of you regression model, both the dependent and independent variables
2) list each of the indepedent variables, and hypothesize the sign of coefficients and explain why negative or postive
3) explain model with formula
Qd=a+b*Pa+c*Pb+d*Income
I have know idea how to use formula with all those variables
Respond to this Question
Similar Questions

please help  maths
Data are collected on the average secondhand price of a particular model of car, from back copies of car trading magazines. The model of car was manufactured in 2000. Year 2001 2002 2003 2004 2005 Average price (£) 11015 5920 4123 … 
Economics
Assume the demand for beef is given by Qd = 22 + 0.1 Y – 10Pb + 5 Pc And the supply of beef is given by: Qs = 400 + 500Pb – 200 Pf where Qd denotes quantity of beef demanded, Qs denotes quantity supplied, Pb denotes price, of … 
Statistics
I neep help on two questions! A condition that occurs in multiple regression analysis if the independent variables are themselves correlated is known as: 1. autocorrelation 2. stepwise regression 3. multicorrelation 4. multicollinearity … 
Managerial Economics
The coefficient of the price of gasoline in the regression of the quantity demanded of automobiles (in millions of units) on the price of gasoline (in dollars) and other variables is 14. (a) calculate the cross price elasticity of … 
Regression Analysis
1)Quantity of Beef 2)Price of Beef 3)Price of Pizza 4)Price of Coke 5)Income 1 list and explain each of the components of your regression model, both the dependent variable and the independent variables 2list each of the independent … 
Macroeconomics
What happens to the equilibrium price and quantity of ice cream in response to each of the following? 
math
The typical American eats 96.3 pounds of beef each year. If the average price of beef is $2.42 per pound, about how much is spent on beef by each american? 
Statistics
We're doing a project. I have all my data, but I'm not sure about what this is asking for. Use your regression equation to determine the purchase price for the 1999 Jeep Grand Cherokee. How does the predicted value, ŷ, compare … 
Multiple regression
1) Estimate a multiple regression equation to predict the price of houses in a given community. Employ all available explanatory variables. Is there evident of of multicollinearity in this model? 
math(Quantitative) ...Pls help me
Linear regression analysis is based on identifying independent variables and gathering historical data for these variables.Name 2 independent variables to forecast these dependent variables: (a)Demand for hospital Services. (b)Students …