() Interpret the slope. Select the correct choice below and, if necessa Square Footage, x Selling Price ($000s), y O O A. For every additional thousand dollars in selling price, the squa 2211 381.1 (Round to three decimal places as needed.) 3190 376.8 1098 185.2 O B. For every additional square foot, the selling price increases by (Round to three decimal places as needed.) 1930 330,9 3180 632 OC. For a house that is sold for $0, the predicted square footage i (Round to three decimal places as needed.) 2799 374.2 4022 613.6 364.2 O D. For a house that is 0 square feet, the predicted selling price is (Round to three decimal places as needed.) 2129 2700 439.2 1725 300.8 O E. It is not appropriate to interpret the slope. 1819 276 2 (g) Is it reasonable to interpret the y-intercept? Why? Select the corre 3984 716.9 O A. No-a house of square feet is not possible and outside th Print Done
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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