2660 Are You Ready

17 Questions | Total Attempts: 63

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2660 Are You Ready

Questions and Answers
  • 1. 
    Load Data Set 111 I run a linear regression and find the equation for the line, then use it to predict the value for y when x = 12. Which of the following features would be a concern in terms of accuracy?
    • A. 

      Least squares regression line

    • B. 

      Extrapolation

    • C. 

      Interpolation

    • D. 

      Y squared transformation

    • E. 

      X squared transformation

    • F. 

      Pattern in the residual plot

  • 2. 
    I have the equation for the best transformation for a set of data : y = 27 - 3.4 * log(x) To predict the value of y when x = 12, which App should I use?
  • 3. 
    Load Data Set 111 What is the equation for the least squares linear regression? (2 decimal places, no spaces)
  • 4. 
    Load Data Set 111 Which quadrant does the shape of the data fit?
  • 5. 
    Load Data Set 111 Which transformations apply to this data set?
    • A. 

      X squared

    • B. 

      Y squared

    • C. 

      Log x

    • D. 

      Log y

    • E. 

      1/x

    • F. 

      1/y

  • 6. 
    Load Data Set 111 I run a linear regression and find the equation for the line, then use it to predict the value for y when x = 12. Which of the following features would be a concern in terms of accuracy?
    • A. 

      Least squares regression line

    • B. 

      Extrapolation

    • C. 

      Interpolation

    • D. 

      Y squared transformation

    • E. 

      X squared transformation

    • F. 

      Pattern in the residual plot

  • 7. 
    The accuracy of any prediction using least squares regression, including transformations, is dependent on :
    • A. 

      The regression line or transformation being linear

    • B. 

      Residual plot being random

    • C. 

      High r value

    • D. 

      Interpolation

    • E. 

      Extrapolation

    • F. 

      Positive correlation coefficient

    • G. 

      Scatter plot being random

  • 8. 
    The two main ways to indicate a predictions from a linear regression line or transformation will be accurate are:
    • A. 

      Extrapolation and linearity

    • B. 

      Interpolation and extrapolation

    • C. 

      Linearity and residual plot being random

    • D. 

      Interpolation and linearity

    • E. 

      Residual plot being random and extrapolation

    • F. 

      Interpolation and positive correlation coefficient

  • 9. 
    In any linear regression equation, the value of b represents
    • A. 

      The strength of the relationship

    • B. 

      The rate of change in the relationship

    • C. 

      The y intercept

    • D. 

      The spread of the residual plot

    • E. 

      The quadrant of the transformation

    • F. 

      The planet of the transformation

  • 10. 
    In any linear regression equation, the value of a represents
    • A. 

      The strength of the relationship

    • B. 

      The rate of change in the relationship

    • C. 

      The y intercept

    • D. 

      The spread of the residual plot

    • E. 

      The quadrant of the transformation

    • F. 

      The planet of the transformation

  • 11. 
    Enter Data Set 111 Using the equation of the regression line to two decimal places, what is the value of y when x is 3.5?
  • 12. 
    Enter Data Set 111 The data represents the migration of birds over the winter. The y values show the number of birds nesting in a cave. The x values indicate the number of weeks into winter the sample was taken. birds in cave = 62.43 - 8.14 * weeks into winter What is the prediction for the 10th week.
  • 13. 
    Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Developers. Properties are developed and sold in stages of 10 houses. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz) How many months will it take to sell out the development?
  • 14. 
    Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Developers. Properties are developed and sold in stages of 10 houses. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz) How many houses would remain to be sold four months after the advertising blitz?
  • 15. 
    Enter Data Set 131 The data represents the sales of properties in a housing development by JCon Constructions. Properties are developed and sold in stages of 10 houses, with seven stages planned. JCon decide to promote the properties for a month before putting them on sale. After the extensive advertising blitz for a month, JCon Developers have a total of 70 properties. The x values represent the number of months since the start of the advertising blitz. The y values represent the number of houses remaining. number of house remaining = 67.62 - 63.37 * log(months since advertising blitz) Using the transformation equation, predict how many houses have been sold 6 months after the advertising blitz?
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