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(2)What would the consequence be for a regression model if theerrors were not homoscedastic?
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- What is a linear regression model? What is measured by the coefficients ofa linear regression model? What is the ordinary least squares estimator?A realtor was investigating the price of real estate based on the size of the house in square feet x1 and if the house was within walking distance of an "A" rated public school. The indicator variable is defined as x = 1 if the house is within walking distance of an "A" rated public school and x = 0 if the house is NOT within walking distance of an "A" rated public school. If there was interaction in the regression problem, an appropriately fit regression model would have…? a) A different slope and different y-intercept for those within walking distance and those not. b) A different y-intercept for those that were within walking distance and those that were not; the slope would not change. c) A different slope, but not a different y-intercept for those within walking distance and those not. d) Cannot be determinedWhat is difference between regression model, and estimated regression equation?
- In multiple regression model: what is it means for a variable to be significant? Explain the meaning of the significant variable.Please help me write a regression equation for these regressions!1) State in algebraic notation and explain the assumption about the classical linear regression models disturbances that are referred to by the term ‘homoscedasticity’.
- Define Interpretation of coefficients in polynomial regression models?All the regression assumptions lie on the residuals, for both simple and multiple regression. True or False?True or False For a linear regression model including only an intercept, the OLS estimator of that intercept is equal to the sample mean of the independent variable.