You are given the following data, where X1 (final percentage in math class) and X, (number of absences) are used to predict Y (standardized math test score in third grade): Detemiar te fillowngmuhple regression values Repart intept and slopes ir regression equation accurate to 3 decimal places t 217641 Petal slige I, = 245 Patal diege Ig - Y X X2 400 82 420 80 2 300 65 310 Repurt um of squrs accente to 3 decimal places 61 5 415 95 2 345 70 3 410 72 1 Test the suguficner ef de ovmal reprse model (eport Feaho accuate to 3 decamal places and Palue accurate to 4 decmal placen Fato) 350 78 3.
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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