Which is the best answer? Simple linear regression or Ordinary Least Squares is: a. An appropriate inferential statistic for basic, two-variable research questions. b. Used when the researcher has a clearly directional hypothesis between the independent and dependent variables. c. Used to predict scores on one variable based on the scores from a second variable (when both variables are normal/continuous scale) d. All the Above
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.
Which is the best answer?
Simple linear regression or Ordinary Least Squares is:
a. An appropriate
b. Used when the researcher has a clearly directional hypothesis between the independent and dependent variables.
c. Used to predict scores on one variable based on the scores from a second variable (when both variables are normal/continuous scale)
d. All the Above
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