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St Mnmn · Answer 1 · 2021-07-20T19:50:05+0000

Answer:

$\widehat {price}=127.27+1.0466(appraised\ value)$

Step-by-step explanation:

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An appraised value is the value used estimate the price of a product. Regression analysis is the use of mathematical models and functions to predict a variable with the help of other variables. It shows the relationship between variables. Regression analysis can also be used to estimate, predict or forecast from a model.

The equation of the least-squares regression line for predicting selling price from appraised value is gotten by adding the constant coefficient and the appraisal coefficient. The equation is given as:

$\widehat {price}=127.27+1.0466(appraised\ value)$

The equation of the least-squares regression line for predicting selling price from-example-1

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