Author Question: It is desired to build a regression model to predict y = the sales price of a single family home, ... (Read 98 times)

serike · **on:** Feb 14, 2020

It is desired to build a regression model to predict y = the sales price of a single family home, based on the x₁ = size of the house and x₂ = the neighborhood the home is located in. The goal is to compare the prices of homes that are located in two different neighborhoods. The following model is proposed:

E(y) = β₀ + β₁x₁ + β₂x₂

A regression model was fit and the following residual plot was observed.

Which of the following assumptions appears violated based on this plot?
◦ The mean of the errors is zero
◦ The errors are normally distributed
◦ The variance of the errors is constant
◦ The errors are independent

cclemon1 · **Reply #1 on:** Feb 14, 2020

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