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Interpret the Slope and the Y-Intercept of the Least-Squares Regression xx

question 5

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Interpret the Slope and the y-intercept of the Least-Squares Regression Line
-A real estate magazine reported the results of a regression analysis designed to predict the price (y) , measured in dollars, of residential properties recently sold in a northern Virginia subdivision. One independent variable used to predict sale price is GLA, gross living area ( xx ) , measured in square feet. Data for 157 properties were used to fit the model, y=β0+β1x\mathrm { y } = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } . The results of the simple linear regression are provided below.
y^=96,600+22.5xs=6500r2=0.77t=6.1 (for testing β1 )  \hat { \mathrm { y } } = 96,600 + 22.5 \mathrm { x } \quad \mathrm { s } = 6500 \quad \mathrm { r } ^ { 2 } = - 0.77 \quad \mathrm { t } = 6.1 \text { (for testing } \beta _ { 1 } \text { ) }
Interpret the estimate of β0\beta 0 , the yy -intercept of the line.


Definitions:

Unaided Recall Test

A measure of memory in which respondents are asked to remember specific information without the use of any prompts or cues, often used in market research to assess brand awareness.

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A method used in marketing research where a product, ad, or campaign is evaluated by a panel of judges or potential consumers for feedback.

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A market research technique where respondents are prompted with specific cues or aids to help them remember certain information or brands.

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