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A Realtor Is Trying to Predict the Selling Price of Houses

question 13

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A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of Size (measured in thousands of square feet) and whether or not there is a fireplace (FP is 0 if there is no fireplace, 1 if there is a fireplace) . Part of the regression output is provided below, based on a sample of 20 homes. Some of the information has been omitted.  Variable  Coefficients  Standard Error  t-Stat  P-value  Intercept 128.937462.620530249.2038.93E20 Size 1.207243611.4392.09E09 FP 6.476019541.98036123.270.004512\begin{array} { l r r r r } \hline \text { Variable } & \text { Coefficients } & \text { Standard Error } & \text { t-Stat } & \text { P-value } \\\hline \text { Intercept } & 128.93746 & 2.6205302 & 49.203 & 8.93 \mathrm { E } - 20 \\\text { Size } & & 1.2072436 & 11.439 & 2.09 \mathrm { E } - 09 \\\text { FP } & 6.47601954 & 1.9803612 & 3.27 & 0.004512 \\\hline\end{array} Which statement is supported by the regression output?


Definitions:

U.S. Poverty Rate

The proportion of the population living in households with income below the official poverty threshold as defined by the United States government.

Great Recession

A period of global economic downturn that took place roughly from 2007 to 2009, marked by high unemployment, falling housing prices, and severe financial stress.

Poverty Rate

The Poverty Rate is the percentage of the population that lives below the poverty line, indicating the level of poverty within a country or region.

College Graduates

Individuals who have completed a degree program at a college or university, obtaining qualifications such as a bachelor's, master's, or doctoral degree.

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