Consider the sample regression equation that predicts the calorie content in a hamburger (in cals) using the fat content (in grams) yi = 310+14.4 (fati) + ei Which of the following statements is correct regarding the estimated equation? a) a. the equation is expressing a non-linear relationship between fat and calories b) b. a hamburger with 310 calories has zero fat content c) c. a hamburger’s calorie content rises by about 14.4 grams for every additional gram of fat d) d. the ei is called the stochastic error term, and is a representation of those factors that cause fat content that the regression is not accounting for
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.
Consider the sample regression equation that predicts the calorie content in a hamburger (in cals) using the fat content (in grams)
yi = 310+14.4 (fati) + ei
Which of the following statements is correct regarding the estimated equation?
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