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It Is Desired to Build a Regression Model to Predict y=y =

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It is desired to build a regression model to predict y=y = the sales price of a single family home, based on the x1=x _ { 1 } = size of the house and x2=x _ { 2 } = 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\mathrm { E } ( \mathrm { y } ) = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } _ { 1 } + \beta _ { 2 } \mathrm { x } _ { 2 }
A regression model was fit and the following residual plot was observed.
Residual


 It is desired to build a regression model to predict  y =  the sales price of a single family home, based on the  x _ { 1 } =  size of the house and  x _ { 2 } =  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:  \mathrm { E } ( \mathrm { y } )  = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } _ { 1 } + \beta _ { 2 } \mathrm { x } _ { 2 }  A regression model was fit and the following residual plot was observed. Residual      Which of the following assumptions appears violated based on this plot? A)  The variance of the errors is constant B)  The errors are independent C)  The mean of the errors is zero D)  The errors are normally distributed
Which of the following assumptions appears violated based on this plot?


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Year 3

Third year in a series, sequence, or timeline, often used in financial and analytical contexts to denote the third year of operations, performance, or analysis.

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