Dependent variable is Calories R-squared = 93.2% s = 63.73 1200 1000- Variable Coefficient SE 800 Intercept 12.7234 43.910 600 Fat 21.2171 1.5944 400 200 10 20 30 40 50 Fat Calories
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.
as a healthier alternative to beef because many are
wiches randomly selected from the website http://
Sandwich produced the Calories vs. Fat
situation?
b) Describe the strength of this association.
c) Write the equation of the regression line to estimate
calories from the fat content.
d) Explain the meaning of the slope.
e) Explain the meaning of the y-intercept.
tive residual?
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