ANOVA df SS MS F Significance F Regression 1 24360.81754 24360.81754 29.50102381 1.15405 E-06 Residual 58 47894.18246 825.7617666 Total 59 72255 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 56.95659334 12.27319518 4.640730674 2.02919E-05 32.38912416 81.52406252 Sale Amount 0.126993685 0.023381027 5.431484494 1.15405E-06 0.080191475 0.173795894

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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.