A house in a nearby neighborhood has 3 bedrooms and 2000 square feet of living area. Use the following multiple regression model to answer parts a through c below. Price = 19,719.46 - 8593.22Bedrooms + 127.69Living Area a) Find the price that this model estimates. (Round to the nearest dollar as needed.) b) The house just sold for $332,000. Find the residual corresponding to this house. (Round to the nearest dollar as needed.) c) What does that residual say about this transaction? A. The house sold for about $82,700 less than the estimate. B. The house sold for about $166,600 more than the estimate. O C. The house sold for about $82,700 more than the estimate. D. The house sold for about $166,600 less than the estimate.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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