5. In a large class, the instructor ran a regression with the independent variable(x) as the grade on the first exam and the dependent variable(y) being the grade on the second exam. She found the equation to be: Y = 29.25 + .57X Knowing that your friend got a 78 on the first exam, what value would you predict she got on the second exam? a) 71.43 b) 72.57 c) 78.00 d) 73.71
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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