BUS308 Week 4 Quiz

Question 1

1 / 1 pts

Relationships between variables may exist even when changes in one variable do not “cause” changes in another variable.

Correct!

True

False

Question 2

1 / 1 pts

Pearson Correlation Coefficient is a mathematical value that shows the strength of the linear (straight line) relationship between two variables.

Correct!

True

False

Question 3

1 / 1 pts

A correlation of .90 and above is generally considered too strong to be of any practical significance.

True

Correct!

False

Question 4

1 / 1 pts

In the generic linear regression equation is Y = A + B*X, what does A stand for?

The Predicted output variable.

The input variable.

Correct!

The Intercept

The coefficient of the independent variable

Question 5

1 / 1 pts

The statistical significance of a correlation is determined by a t-statistic.

Correct!

True

False

Question 6

1 / 1 pts

In a multiple regression analysis, rejecting the null hypothesis of Ho: Regression equation is not significant means that all variable coefficients are significant.

True

Correct!

False

Question 7

1 / 1 pts

A linear regression analysis uses two distinct types of data. The first are variables that are at least nominal level.

True

Correct!

False

Question 8

1 / 1 pts

Multiple regression equations can use nominal variables as inputs if they are coded as dummy variables.

Correct!

True

False

Question 9

1 / 1 pts

Correl can be used for a single or multiple data sets.

True

Correct!

False

Question 10

1 / 1 pts

In the generic multiple regression equation is Y = A + B1*X1 + B2*X2 + …, what does B1 stand for?

The Predicted output variable.

The input variable.

The Intercept

Correct!

The coefficient of an independent variable

Quiz Score: 10 out of 10