Business Analytic Tools (Coursework Sample)

Question 1 
In the graph of the simple linear regression equation, the parameter  is the ___________ of the regression line.
Question 1 options:

a) slope


b) end-point


c) y-intercept


d) x-intercept

Question 2 
The Least Squares method is based on calculus finding the point that minimizes the errors.
Question 2 options:

True


False

Question 3 
In the simple linear regression model, the ____________ accounts for the variability in the dependent variable that cannot be explained by the linear relationship between the variables.
Question 3 options:

a) residual


b) error term


c) constant term


d) model parameter

Question 4The F test has a value of 0.04999 therefore; you reject this one variable's null hypothesis.
Question 4 options:

True


False

Question 5 
Identify the dangers in regression analysis:
Question 5 options:

a) prediction


b) extrapolation


c) very large datasets


d) quadratic models


e) not performing L.I.N.E.

Question 6 
______________ refers to the degree of correlation among independent variables in a regression model.
Question 6 options:

a) Multicollinearity


b) Rank


c) Confidence level


d) Tolerance

Question 7 
Multicollinearity can be identified by (select all that apply):
Question 7 options:

a) degrees of freedom


b) Adjusted R2


c) correlations


d) the intercept's p-value


e) VIFs

Question 8 
Overfitting is considered bad because the VIF value is increased.
Question 8 options:

True


False

Question 9 
The proper structure for the categorical variable below is:
Home Construction:  Brick, Wood, Stone, Metal, Hybrid
Question 9 options:

a) Brick: 0, 1          Wood: 0, 1Stone: 0, 1         Metal: 0, 1Hybrid: 0, 1


b) Brick: 0, 1          Wood: 0, 1Stone: 0, 1         Metal: 0, 1


c) Construction:  0, 1, 2, 3, 4


d) Construction:  1, 2, 3, 4


e) Construction:  1, 2, 3, 4, 5

Question 10 
When a categorical variable has k values, the encoding process will transform that into k "dummy variables".
Question 10 options:

True


False

Question 11 
y=b0+b1x1+b2(x1−x(k))xk  is an example of:
Question 11 options:

a) a linear regression model with two independent variables


b) a piecewise linear regression model


c) a model that this class did not study


d) an incorrect quadratic regression model

Question 12 
Stepwise Regression:
Question 12 options:

a) uses a "knot" to identify where the independent variable's best coefficient value.


b) begins with the independent variable with the lowest SSE, then adds a variable and removes a variable so long as pre-specified criterion are met.


c) incrementally adds one independent variable at a time based on its SSE.


d) begins with a regression model for every possible combination of independent variables, then selects the model with the best goodness of fit statistics.

Using a linear regression line, what is the value of b0 if:
b1= 8.3     y= 36.1      x = 4
(Keep one decimal place)
Your Answer:
Question 13 options:

Answer

Question 14 
Question 14 options:
Download Q 2 (download) for this problem.
How much of the data's variation is explained by this simple linear regression?
(Keep four decimal places)
True / False:  Based on R2, the F test, and the p value(s),  we should not use this model to represent this data.
What is the average distance that the observed values fall from the regression line?
(Keep two decimal places)
b1 = 
(Keep four decimal places)
Question 15 
Download   HYPERLINK "https://elearn.memphis.edu/d2l/common/dialogs/quickLink/quickLink.d2l?ou=8789758&type=coursefile&fileId=Module+2%2fChapter+7b+files%2fQ+1.xlsx" \t "_blank" Q 1 (download) and generate the simple linear regression model.
Predict the annual maintenance expense if