The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the X-axis. Based on the scatterplot, what do you conclude about a linear correlation? 2775 2815 3610 Weight (Ib) Highway (mpg) 3900 4050 2385 3370 0 35 33 29 26 24 38 30 Which scatterplot below shows the data? OA. OB Oc. D. 40- 40 40 401 20+ 2000 Weight (Ib) 20+ 2000 5000 Weight (b) 20 2000 20+ 2000 Weight (Ib) 5000 5000 5000 Weight (Ib) Highway (mpg) ... (5du) iab
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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