ind the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Ea air of variables has a significant correlation:) Then use the regression equation to predict the value of y for each of the given x-value neaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. (b) x = 100 calories (a) x 160 calories (c) x = 140 calories Calories, x 150 180 130 120 70 190 D 370 280 530 (d) x = 210 calories Sodium, y 415 465 330 y = +.
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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