Have a Question ?

Home / Answered Questions / WPC 300 / wpc-300-quiz-9-score-for-this-attempt-15-out-of-15-attempt-1-q-810

(Solved): WPC 300 Quiz 9 : Score for this attempt: 15 out of 15 : Attempt 1 ...


WPC300 Quiz 9

Score for this attempt: 15 out of 15
This attempt took 20 minutes.

Question 1

1.5 / 1.5 pts

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

  • There will be a multi-collinearity effect.
  •  The relationship between dependent and independent variables is linear.
  •  The residuals are normally distributed.
  •  The independent variables are not correlated. 

 

Question 2

1.5 / 1.5 pts

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 in a year, the model predicts the annual cost of the car to be:

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


 Question 3

1.5 / 1.5 pts

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

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

 

Question 4

1.5 / 1.5 pts

What would be the null hypothesis for testing a linear regression model with profit as the dependent variable and sales as the independent variable?

  • There is no linear relationship between profit and sales.
  • There is a negative relationship between profit and sales.
  • There is a positive relationship between profit and sales.
  • There is a linear relationship between profit and sales that can be either positive or negative.

 

Question 5

1.5 / 1.5 pts

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 linear variable
  • a continuous variable
  • an independent variable

 

Question 6

1.5 / 1.5 pts

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:

  • 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.
  • The exam is a poor predictor of success.

 

Question 7

1.5 / 1.5 pts

Which of the following is true about multi-collinearity?

  • The regression coefficients become clearer and are easier to interpret.
  • It is measured using a measure called variance inflation factor (VIF).
  • The P-value reduces significantly, leading to rejection of the null hypothesis.
  • The effect of an independent variable on the dependent variable becomes difficult to isolate.

 

Question 8

1.5 / 1.5 pts

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

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

 

Question 9

1.5 / 1.5 pts

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

 

Question 10

1.5 / 1.5 pts

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

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


We have an Answer from Expert View Expert Answer

Expert Answer


Question 1

1.5 / 1.5 pts

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

  •   There will be a multi-collinearity effect.
  •    The relationship between dependent and independent variables is linear.
  •    The residuals are normally distributed.
  •    The independent variables are not correlated. 

Question 2

1.5 / 1.5 pts

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 in a year, the model predicts the annual cost of the car to be:

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

 

 

We have an Answer from Expert
Buy This Answer $12

-- OR --

Subscribe To View Unlimited Answers
Subscribe $12 / Month