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# (Solved): WPC300 - 33872 Assignments | quizzes | Quiz 5...

Score for this attempt: 20 out of 20

Submitted Feb 14 at 5:17am

This attempt took 27 minutes.

Question 1

A correlation coefficient between "college entrance exam" grades and scholastic achievement was found to be -1.08. On the basis of this, you would tell the university that:

•   The exam is a poor predictor of success.
•    They should hire a new statistician.
•    Students who do best on this exam will make the worst students.
•    The entrance exam is a good predictor of success.

Question 2

You need to find out which customer is likely to buy your product. A sample data is available from your current customer base. Which of the following analysis method will be appropriate for this study?

•   Multiple linear regression
•    Logistic regression
•    Linear regression
•    Clustering

Question 3

The value of R-Squared always falls between ___________ and ___________ inclusive.

•   0 and 1
•   0 and -1
•   -infinity to + infinity
•   -1 and +1

Question 4

A manager wishes to predict the annual cost (y) of an automobile based on the number of miles (x) driven. The following model was developed: y = \$1500 + 0.36x. If a car is driven 15000 miles, the predicted cost of the car is:

•   \$6900
•    \$2090
•    \$7400
•    \$3850

Question 5

Which of the following statement is true based on the following regression equation?
IQ = 4.0 + Reading Label * 5.6

•   A unit point change in IQ will result in 5.6 point increase in reading label
•    A unit point change in IQ will result in 9.6 point increase in reading label
•    Reading label is not a good predictor of IQ
•    A unit point change in reading label will increase IQ by 5.6 point

Question 6

Which of the following assumptions is not true for multiple linear regression?

•   Presence of multi-collinearity effect
•    Relationship between dependent and independent variables should be linear
•    Residuals are normally distributed
•    No correlations between the independent variables

Question 7

The unexplained variance in the regression analysis is also known as:

•   Residual variance
•    Regression variance
•    Predicted variance
•    Total variance

Question 8

The correlation coefficient between the age of an auto and the money spent to repair is 0.9. Which of the following statement is true?

•   90% of the repair cost will be explained by the age of an auto
•    90% of the money spent on repair is explained by the age of an auto
•    81% of money spent on repairs is explained by the age of an auto
•   81% of the variation in the money spent on repairs is explained by the age of the auto

Feedback: R=0.9, R-squared = 0.81. Remember the definition of R-squared.

Question 9

Which of the following is true about multi-collinearity?

•   The effect of a dependent variable on another becomes difficult to isolate.
•   Is measured using the statistical variance inflation factor (VIF)
•    P-value reduces significantly leading to rejection of the null hypothesis.
•    Regression coefficients become clearer and are easier to interpret

Question 10

A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size, household income, and household neighborhood (urban, suburban, and rural). The "neighborhood" variable in this model is ________.

•   A dependent variable
•    A continuous variable
•   An independent variable
•    A qualitative variable

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Question 3

2 / 2 pts

The value of R-Squared always falls between ___________ and ___________ inclusive.

•   0 and 1
•    0 and -1
•    -infinity to + infinity
•    -1 and +1

We have an Answer from Expert