_____________ is a statistical method used to determine whether a relationship between variables exist.

A ____________ is sometimes written as one-word, scatterplot is also called scatter graph or scatter diagram.

A _____________ shows how each point collected from a set of bivariate data are scattered on the Cartesian plane, it gives a good visual picture of the ____ variables which helps in finding the relationship that exists between the two variables.

A ______________ is a graphical representation of the relationship between two variables.

_______________ is a useful tool for checking the assumptions in a regression analysis

Scatter diagram is a useful tool for checking the assumptions in a ___________ analysis

It can be viewed during an initial screening run of the analysis or after the analysis.

Scatter plot can be viewed during an ________ screening run of the analysis or _______ the analysis.

The benefit of looking at scatter diagram residuals in the ____________ stages of an analysis is that it may save a researcher time.

Scatter plot : If the assumptions are _____ met, further screening must be applied ___________ the analysis can be completed and data may require cleansing and transformation.

In this case, the researcher is not running analysis haphazardly. For instance, the assumptions are met, the regression is ready to be run and the researcher has ____________ confidence that the chances of making a Type I or Type II error are _________ ultimately improving the accuracy of any research results.

The direction of correlation maybe __________, ___________or ______

A __________ correlation exists when high values of one variable correspond to high values in the other variable or low values in one variable correspond to low values in the other variable

A positive correlation exists when _____ values of one variable correspond to ______ values in the other variable or _____ values in one variable correspond to ____ values in the other variable.

A __________ correlation exists when high values in one variable correspond to low values in the other variable or low values in one variable correspond to high values in theother variable.

A negative correlation exists when _____ values in one variable correspond to _____ values in the other variable or ____ values in one variable correspond to _____ values in theother variable.

A ______ correlation exists when high values in one variable correspond to either high or low values in the other variable.

A zero correlation exists when high values in one variable correspond to _______ high or low values in the other variable.

The strength of correction may be ________, very high, moderately high, moderately low, very low and zero.

Pearson product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the _________ related variables.

__________ product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the linear related variables.

The ___________ correlation would require both variables to be normally distributed.

__________ refers to the departure of two random variables from independence.

The Pearson r correlation would require _____ variables to be normally distributed. Correlation refers to the departure of ____ random variables from _____________.

__________ correlation is used to measure the degree of relationship between the two products.

The ___________ is defined as the covariance divided by the standard deviations of the variables

The correlation coefficient is defined as the covariance ________ by the standard deviations of the variables.

Pearson’s product-moment correlation coefficient or simply correlation coefficient (or _____________) is a measure of the ________ strength of the association between ___ variables.

It is founded by Karl Pearson.

The value of the correlation coefficient varies between ____ and _____. When the value of the correlation coefficient lies around _____ then it is said to be a perfect degree of association between the two variables.

As the value of the correlation coefficient goes closer to ______ the relationship between the two variables will be _______

no correlation, no relationship

very low correlation, almost negligible relationship

slight correlation, definite but small relationship

moderate correlation, substantial relationship

high correlation, marked relationship

very high correlation, very dependable relationship

perfect correlation, perfect relationship

The test for correlation coefficient is ______-tailed; the __________ region is divided into ____ equal parts

The test of ___________ is two-tailed; the rejection region is divided into two equal parts