You are given the following data, where X, (final percentage in math class) and X2 (number of absences) are used to predict Y (standardized math test score in third grade): Detmiar de filwng mahple repression values Report tet and sloges far repesion equation accurte to 3 decinal places Y X X 400 82 2 Patul slope X 26 420 80 300 65 7 310 61 415 95 2 $ IN S 345 70 410 72 Tes te upafrane e de ovmil reprait model (eport Frato cont to deima plces and Prale acunte to deinal place) Feno N) Pule 350 78 3 465 92 350 70 375 quer de wince e de midali acunt o decinal ples 88 3 375 92 6 390 80 Ipat de tet ates fr the mgs coeficint accute to 3 decimal places Determine the following multiple regression values.
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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