Nassau County is located approximately 25 miles east of New York City. The accompanying data include the fair market value (in thousands of dollars), land area of the property in acres, and age, in years, for a sample of 20 single-family homes located in Glen Cove, a small city in Nassau County. Develop a multiple linear regression model to predict the fair market value based on land area of the property and age, in years. Complete parts (a) through (f). E Click the icon to view the data table. a. State the multiple regression equation. Let X represent the land area of the property in acres and let X2 represent age, in years. P; = 458.4 + ( 421.7) X, + ( – 1.8 ) X21 (Round to one decimal place as needed.) b. Interpret the meaning of the slopes, b, and by, in this problem. Choose the correct answer below. O A. For a given age, each increase of 1 acre in land area is estimated to result in an increase in fair market value by b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in fair market value by b, dollars. O B. For a given age, each increase of 1 acre in land area is estimated to result in an increase in fair market value by 1000b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in fair market value by 1000b, dollars. OC. For a given age, each increase of 1 acre in land area is estimated to result in an increase in fair market value by b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in fair market value by b, dollars. O D. For a given age, each increase of 1 acre in land area is estimated to result in an increase in fair market value by 1000b, dollars. For a given land area, each increase in one year in age is estimated to result in a decrease in fair market value by 1000b, dollars.
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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