Question

# A scatter diagram is a graph that portrays a correlation between a ________________variable and a _______________...

A scatter diagram is a graph that portrays a correlation between a ________________variable and a _______________ variable.

The _________________ of _________________ is expressed as a percent, its value is between 0 and 100%.

In plotting paired data in a scatter diagram, the independent variable is scaled on the __________________.

If there is absolutely no relationship between two variables, Pearson's r will equal _____.

________________________________________

If the coefficient of correlation is 0.80, the coefficient of determination is _____.

________________________________________

The proportion of explained variation is called the _______________.

________________________________________

The _______________ principle is applied when calculating the regression coefficients.

________________________________________

If the slope of a regression line is zero, the orientation of the regression line is _________, which indicates a lack of a relationship.

What is the test statistic to test the significance of the slope in a regression equation?

The regression equation is Ŷ = 29.29 - 0.96X, the sample size is 8, and the standard error of the slope is 0.22. What is the critical value to test the significance of the slope at the 0.01 significance level?

A sales manager for an advertising agency believes that there is a relationship between the number of contacts that a salesperson makes and the amount of sales dollars earned.
What is the dependent variable?

A scatter diagram is a graph that portrays the correlation between a dependent variable and an independent variable.

The coefficient of determination is expressed as a percent, its vale is between 0% and 100%.

In plotting paired data in a scatter diagram, the independent variable is scaled on the horizontal axis.

If there is absolutely no relationship between two variables, Pearson's r will equal zero.

If the coefficient of correlation is 0.80, the coefficient of determination is 0.64.      [i.e., 0.802 = 0.64]

The proportion of explained variation is called the Coefficient of determination.

The least square principle is applied when calculating the regression coefficients.

If the slope of a regression line is zero, the orientation of the regression line is horizontal, which indicates a lack of a relationship.