In any regression model, there is an implicit assumption that - Homeworkbuy

In any regression model, there is an implicit assumption that

In any regression model, there is an implicit assumption that a relationship exists between the variables. (Points : 3)

True

False

                                 Question 2.

2.

A scatter diagram is useful to determine if a relationship exists between two variables.

(Points : 3)

True

False

                                 Question 3.

3.

The coefficients of each independent variable in a multiple regression model represent slopes.

(Points : 3)

True

False

                                 Question 4.

4.

One purpose of regression is to understand the relationship between variables.

(Points : 3)

True

False

                                     Question 5.

5.

.next.ecollege.com/CurrentCourse/GBA334_Quiz2_7.jpg”>

.next.ecollege.com/CurrentCourse/Quiz_2_Demand_Graph.pdf”>Click here to view a pdf of this graphic.

The diagram above illustrates data with a:

                                        (Points : 3)

negative correlation coefficient.

zero correlation coefficient.

positive correlation coefficient.

none of the above.

                                     Question 6.

6.

                                    Demand for a particular type of battery fluctuates from one 

week to the next. A study of the last six weeks provides the following

demands (in dozens): 4, 5, 3, 2, 8, 10 (last week). What is the the

forecast demand for the next week using a two-week moving average.

                                        (Points : 3)

4.5

6.67

9

10

                                 Question 7.

7.

Scatter diagrams can be useful in spotting trends or cycles in data over time.

(Points : 3)

True

False

                                     Question 8.

8.

A large school district is reevaluating its

teachers’ salaries. They have decided to use regression analysis to

predict mean teachers’ salaries at each elementary school. The

researcher uses years of experience to predict salary. The resulting

regression equation was:

Y = 23,313.22 + 1,210.89X, where Y = salary, X = years of experience

Assume a teacher has five years of experience. What is the forecasted salary?

                                        (Points : 3)

$29,337.22

$29,337.67

$29,367.22

$29,367.67

                                     Question 9.

9.

.next.ecollege.com/CurrentCourse/GBA334_Quiz2_Ques10.jpg”>

A prediction equation for starting salaries (in $1,000s) and SAT scores

was performed using simple linear regression. In the regression printout

shown above, what can be said about the level of significance for the

overall model?

.next.ecollege.com/CurrentCourse/GBA334_Quiz2_Ques_10.xlsx”>Click here to view the printout in Excel.

                                        (Points : 3)

SAT is not a good predictor for starting salary.

The significance level for the intercept indicates the model is not valid.

The significance level for SAT indicates the slope is equal to zero.

The significance level for SAT indicates the slope is not equal to zero.

None of the above can be said about the level of significance.

                                 Question 10.

10.

A scatter diagram is a graphical depiction of the relationship between the dependent and independent variables.

(Points : 3)

True

FalseAssume a teacher has five years of experience. What is the forecasted salary?