The following condition is necessary in order to calculate inferential statistics for regression: the variances of Y scores for different values of X are equal (homogeneity of variance). a. true b. false c. impossible to say d. true, but only for descriptive statistics A regression model is derived for two variables X and Y. The variables are then standardized and a new regression model is derived for the standardized variables. What is the regression coefficient a? a.0 b.1 c.same as in the original model Please explain. Both question

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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.