Data was collected for a regression analysis comparing car weight and fuel consumption. bo was found to be 32.7, bị was found to be -7.6, and R was found to be 0.86. Interpret the y – intercept of the line. O On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x = 0, a car gets -7.6 miles per gallon. O On average, when x = 0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y – intercept in this problem.
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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