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    Statistics - Linear Regression - Correlation Worksheet PDF

    Uploaded by

    Fons Roxas-Chua
    - The document contains a 10 question worksheet on linear regression and correlation with multiple choice answers for each question. - The questions cover topics such as interpreting correlation coefficients and slope, predicting values from linear regression equations, and interpreting the components of linear regression equations. - Correct answers are provided for each question to test understanding of key concepts in linear regression modeling and the relationship between variables.

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    Statistics - Linear Regression - Correlation Worksheet PDF

    Uploaded by

    Fons Roxas-Chua
    156 views2 pages
    - The document contains a 10 question worksheet on linear regression and correlation with multiple choice answers for each question. - The questions cover topics such as interpreting correlation coefficients and slope, predicting values from linear regression equations, and interpreting the components of linear regression equations. - Correct answers are provided for each question to test understanding of key concepts in linear regression modeling and the relationship between variables.

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    Statistics - Linear Regression _ Correlation Worksheet.pdf

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    - The document contains a 10 question worksheet on linear regression and correlation with multiple choice answers for each question. - The questions cover topics such as interpreting correlation coefficients and slope, predicting values from linear regression equations, and interpreting the components of linear regression equations. - Correct answers are provided for each question to test understanding of key concepts in linear regression modeling and the relationship between variables.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    156 views2 pages

    Statistics - Linear Regression - Correlation Worksheet PDF

    Uploaded by

    Fons Roxas-Chua
    - The document contains a 10 question worksheet on linear regression and correlation with multiple choice answers for each question. - The questions cover topics such as interpreting correlation coefficients and slope, predicting values from linear regression equations, and interpreting the components of linear regression equations. - Correct answers are provided for each question to test understanding of key concepts in linear regression modeling and the relationship between variables.

    Copyright:

    © All Rights Reserved
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    Download as pdf or txt
    of 2

    Linear Regression & Correlation - Worksheet 

    Lesson: ​Pre-Calculus 

    1) Which of the following values for correlation coefficient produces a perfect negative
    relationship between x and y?

    a. − 0.50 c. −1
    b. − 0.75 d. less than − 1

    2) Given the linear regression model y = 5.3 − 0.52x , interpret the slope.

    a. As x increases by 1 unit, y experiences an increase of 0.52 units.


    b. As x increases by 1 unit, y experiences a decrease of 0.52 units.
    c. As x increases by 1 unit, y experiences an increase of 4.76 units.
    d. As x decreases by 1 unit, y experiences a decrease of 4.76 units.

    3) What describes the relationship of the variables x and y in the linear regression equation:
    y = 85 − 5x ?

    a. There is a strong positive relationship between the two variables.


    b. There is a strong negative relationship between the two variables.
    c. There is weak relationship with no direction.
    d. There is insufficient data to describe the relationship.

    4) If the correlation coefficient is negative, then the slope of the regression line

    a. must be positive c. must be negative


    b. can be equal to zero d. can be positive or negative

    5) In a simple linear regression, the following equation was obtained: y = 50 − 6x . Predict


    the value of y when x is equal to 7.

    a. 8 c. 20
    b. 14 d. 26

    6) What does a correlation coefficient of 0.98 mean?

    a. There is a strong and positive relationship between x and y


    b. There is a strong and negative relationship between x and y
    c. There is a weak relationship between x and y
    d. Correlation coefficients cannot have this value
    7) Which of the following values for a correlation coefficient indicates that there is no
    relationship between the two variables?

    a. −1 c. 1
    b. 0 d. None of the above

    8) Which of the following pairs of situations should produce a correlation coefficient of


    almost 0?

    a. Cost of raw materials & cost of final product


    b. Grades & the number of hours spent studying
    c. Number of CFCs & UV index
    d. Number of hurricanes in a year & weight of books in the library

    9) Interpret the linear regression equation: y = 68 − 0.68x

    a. As x increases, y increases
    b. As x increases, y decreases
    c. It is not a good linear model.
    d. None of the above

    10) What does the y-intercept in a linear regression equation mean?

    a. The value of y when x is equal to 0


    b. The confidence interval of the model
    c. The expected change in y per change in x
    d. It has no relevant meaning.

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