Free Printable Multiple Regression Analysis

Worksheets

Multiple Regression Analysis

Total questions: 10

Worksheet time: 5mins

Name

Class

Date

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

Coefficient of Correlation

Coefficient of Skewness

Coefficient of Determination

Standard Error of Estimate

If the Pearson correlation co-efficient R is equal to 1 then

There is a perfect positive relationship between the two variables

There is a negative relationship between the two variables

There is no relationship between the two variables

There is a positive relationship between the two variables

In regression analysis, the variable that is being predicted is the

Dependent variable

Independent variable

Intervening variable

None of the above

In the equation of a straight line, Y = mX + c , if m is equal to zero then when

Y increases X increases

X increases Y decreases

X increases Y remains constant

X increases Y increases

If the slope of the regression line is calculated to be 2.5 and the intercept 16 then the value of Y when X is 4 is

2.5

66.5

What test statistic is used for a global test of significance?

Z test

t test

Chi-square test

F-test

R-square is a mathematical notation for

Spearman’s Co-efficient of Rank Correlation

Pearson’s Co-efficient of Correlation

The Co-efficient of Determination

The Co-efficient of Variation

In the equation of a straight line, Y = mX + c the term, m is the

Dependent variable

Slope

Intercept

Independent Variable

In the equation of a straight line, Y = mX + c , if c is equal to zero then

The line of best fit cuts the X axis to the left of the Y axis

Does not cross the X axis

The line of best fit cuts the X axis to the right of the Y axis

The line of best fit passes through the origin

10.

In the equation of a straight line, Y = mX + c , if m is equal to -2 then

The relationship between the two variables is perfect