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? Weight (Ib) Highway (mpg) 2745 3115 3635 4035 4390 2645 3420 34 31 28 24 23 36 30 Which scatterplot below shows the data? O A. В. OC. OD. 40- 40- 40- 20- 2500 20- 2500 20- 2500 20- 2500 4500 4500 4500 4500 Weight (Ib) Weight (Ib) Weight (Ib) Weight (Ib) Is there a linear relationship between weight and highway mileage? O A. No, there appears to be no relationship. O B. Yes, as the weight increases the highway mileage increases. OC. No, there appears to be a relationship, but it is not linear. O D. Yes, as the weight increases the highway mileage decreases. Highway (mpg) o 回
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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