mileages in the city for the 2008 model year. Suppose that we add Car 12 to the original data. Car 12 weighs 3,305 pounds and gets 19 miles per gallon. Complete parts (a) through (e). An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas Question Help ▼ Click the icon to view the data table. 31- 31- 31- 23 E 23 151 2500 3300 Weight (Ibs) 15+1 2500 4100 3300 Weight (Ibs) 151 2500 4100 3300 Weight (Ibs) 4100 (b) Compute the linear correlation coefficient with Car 12 included. The linear correlation coefficient with Car 12 included is r= Round to three decimal places as needed.)
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
compute the linear correlation coefficient without car 12 included. The linear correlation coefficient with car 12 not included is r =_. Round to three decimal places as needed.
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