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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

 

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