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41 Cards in this Set
 Front
 Back
In regression analysis, the variable that is being predicted is

The dependent variable


The dependent variable is also known as

The response variable


The range of the correlation coefficient is

1 to +1


The value of the coefficient of determination ranges between

0 to +1


In the regression equation y = b0 + b1x, b0 is the

Y intercept


The dependent variable is usually denoted ___.

y


The square root of the
coefficient of determination: 
The coefficient of correlation


The independent variable is also known as

The predictor variable


The correlation coefficient squared:

The coefficient of determination


In regression analysis, the variable that is doing the predicting or explaining is

The independent variable


What is used to determine an estimated regression line that minimizes the squared deviations of the data values from the line?

The least squares method


Independent variables are usually denoted ___.

x


In the regression equation y = b0 + b1x, b1 is the

Slope of the line


The variable that we wish to estimate or predict:

The dependent variable


The change in the value of the dependent variable that corresponds to a oneunit change in the independent variable:

Slope (denoted B1)


A graphical simultaneous presentation of the values of two variables on a Cartesian coordinate system:

Scatter diagram


Indicates the relationship between the dependent variable and the independent variable:

Linear regression


The value of the dependent variable when the independent variable is zero:

Yintercept (denoted B0)


What type of relationship is there between x and y (independent and dependent variables)?

A DETERMINISTIC relationship


If we want to determine not just if they are linearly related, but also want to know whether there is a positive relationship or a negative relationship (b> 0 or b<0) then we will compute

Pearson's Product Moment Correlation Coefficient ("r")


What should we use when we want to measure the STRENGTH of the association between two variables?

Linear correlation


A variable that provides the basis for estimation:

Independent variable


r^2

Coefficient of determination


Present when the slope is constant at all values of the independent variable:

Linear relationship


Indicates that the relationship is between the dependent variable and a single independent variable:

Simple regression


r

Correlation coefficient


Statistical methods for estimating the relationship between the dependent variable and the independent variable:

Regression analysis


A variable in correlation or regression that cannot be controlled:

Dependent variable


What should you use to calculate and measure the strength and direction of the linear relationship between two variables?

Pearson's Product Moment Correlation Coefficient


A variable in correlation or regression which can be controlled:

Independent variable


What conclusion can be drawn when the observed points on a scatter diagram are randomly scattered about the graph?

There is no relationship between the two variables


The difference between the actual Y values and the predicted Y values:

Residuals


The predicted value of Y when X = 0

Yintercept (b0)


What indicates that there is no relationship between the two variables under consideration?

A correlation coefficient of 0


The coefficient of determination cannot be ____.

Negative


The coefficient of determination is one of the best means for evaluating the _____ of a relationship.

Strength


What indicates perfect negative correlation between two variables?

A correlation coefficient of 1


The percent of the variation that can be explained by the regression equation:

Coefficient of determination (r^2)


What indicates perfect positive correlation between two variables?

A correlation coefficient of 1


What indicates a positive association between two variables?

r > 0


The yintercept a is the ____ value of y when x = 0.

Predicted
