An engineer wanted to determine how the weight of a car affects gas mileage. The following data represent the weights of various cars and their gas mileages. Complete parts (a) through (d). 2500- 15 2500- 15 30 mpg Weight Miles per O mpg Car (pounds) Gallon C. O D. 2655 2580 A 26 27 30- 30- C 3590 18 2770 3680 24 19 15- 2500 Weight (Ibs) 15- 2500 Weight (Ibs) 4000 4000 Click the icon to view the critical values table (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. (Round to three decimal places as needed.) Weight (Ibi O 回 Weight (Ibi
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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Compute the linear
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