rom the scatter plot, which of the following is FALSE? Scatterplot of Gradient of Beach Slope vs Diameter of Granules of Sands 0.15 0.20 0.25 0.30 0.35 Diameter of Granules of Sands (mm) O The regression line minimizes the sum of the squared errors. O The value of the coefficient of determination is positive. The smaller the distance between observed data points and the regression line, the lower the percentage of unexplained variation. We can reject the null hypothesis since there is positive linear relationship between the dependent and independent variables. Gradient of Beach Slope (degree)
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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