der the following four quantities for a regression coefficient: the estimate of the coefficient, the standard error of the coefficient, the t-value of the coefficient, and the p-value of the coefficient. Which of the following is true? a. If the standard error increases and the estimate itself doesn't change, the magnitude of the t-value will decrease and the p-value will decrease. b. If the standard error decreases and the estimate itself doesn't change, the magnitude of the t-value will increase and the p-value will decr
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 following four quantities for a regression coefficient: the estimate of the coefficient, the standard error of the coefficient, the t-value of the coefficient, and the p-value of the coefficient. Which of the following is true?
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