A multiple regression was done on a data set of 10 observations. The table below gives information about the estimated parameter values. Use this information to test if X2 is significant in the model. What is the tcal value from your test? (i.e. what is the test statistic you calculated to perform the test?) beta0_hat = -8.18 SBo = 4.21 beta1_hat = 0.292 SB1 = 0.136 beta2_hat = 4.434 PB2 = 0.80 O Tcal = 1.9430 O Tcal = 5.5425 O Tcal = 4.434 O Tcal = 2.147
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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