Good model ____ is found when the independent variables accurately explain or predict the value of the dependent
If a correlation is ____ significant, we are confident that the correlation in the sample would also be observed in the population. To determine if a correlation is ____ significant, we examine the regression coefficient to see if it is large enough to make a meaningful impact on the dependent variable.
In multiple regression analysis we conduct an ANOVA test of the hypothesis that all of the regression coefficients are really ____ .
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Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable.
Regression analysis serves two main purposes: to define the relationship between variables and to ____ values of the dependent variable using what we know about the existing correlation between the variables.
The coefficient of multiple determination, R^2, is interpreted as the percentage of ____ in the dependent variable that is explained by the independent variable.
The correlation ____ is useful for two reasons: it allows you to see which variables have the strongest correlation with the dependent variable and it detects multicollinearity, which is defined as a correlation of .70 or higher between a pair of independent variables.
The focus of ____ regression is to discover patterns in data, specifically how two or more variables are related.
The objective of the ____ method is to make the sum of the squared deviations between the actual and predicted values of the dependent variable as small as possible.
The standard ____ of the estimate tries to gauge how much the predicted values differ from the actual values.