Stats Review

The ---- measures what proportion of variance in one variable is explained or accounted for by the other variable.

A correlation of ---- indicates that there is not any association between the two variables

In a one-way between-subjects ANOVA, SS(T) is equal to?

We are more accurate in making prediction when r squared is

Euclid's Elements dealt with

If knowing how one variable changes aids us in predicted how another variable will change, we say that the two variables

When the correlation is a 1, all of the observed data points fall along the

The F ratio can only be significant if it is

To actually predict form one variable to another, we use a procedure known as

If the correlation between X and Y is zero, then for any value of X the best prediction for the value of Y would be the

Which of the following is the correct order for the power of tests, those with the least to those with the most power?

When knowledge of the outcome of one event assists in predicting the outcome of another event, then we say

In a ---- design, we are asking if the variables are related.

If you dont have any other information, your best prediction of Y would be ---- for every value of X.

The square of a correlation is called the

Scientists would prefer to have a ---- sample, but they often must employ a ---- sample.

In general, the more flaws a diamond has, the lower its value. This is an example of a ---- correlation

In order to use the Pearson r the data must be either

In a ---- correlation, as one variable increases, so does the other

A method for finding truth that emphasizes logical thinking rather than observation

A correlation of ---- indicates that there is a perfect association among the variables

The greater the magnitude of the correlation, ignoring the sign, between X and Y, the

In a one-way between-subjects ANOVA there are how many independent variables and how many dependent variables?

"Within variability" provides an estimate of ---- by looking at ----

The procedure for finding the equation for the straight line that best fits our data is called

If you are interested in whether two variables are correlated and if both variables consist of ordinal data you use

In the general equation for a straight line, Y = bX + a, the slope is indicated by

Another term for 'mean square' is

If we conclude, based on our sample, that a correlation exists when in fact there is no such correlation, we have made a

The magnitude of the square of the Pearson r indicates the

If there is no treatment effect, the F ratio is expected to approximately equal

The standard deviation for the error of prediction when using a regression line is called the ----

The removal of extreme scores usually reduces the size of a correlation. This is called ----

The magnitude of the Pearson r indicates the ---- between X and Y

---- organizes the initial variables into statistically related underlying factors.