PYS7864 WEEK 9 QUIZ ANSWERS. PLACE OTHER ORDERS WITH US.

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  • Question 1

    20 out of 20 points

    Correct
    You want to conduct a simple linear regression to find out if grades in school predict whether a graduate is employed or unemployed. Why can’t this be done?
    Selected Answer:
    Because the dependent variable is nominal rather than continuous.
    Answers:
    Response Feedback:
    Correct.

  • Question 2

    20 out of 20 points

    Correct
    Which is NOT true of simple linear regression?
    Selected Answer:
    It can be used to predict the outcome of a binary variable (e.g., pass/fail) with continuous variables.
    Answers:
    Response Feedback:
    Correct.

  • Question 3

    20 out of 20 points

    Correct

    You want to see if the learners’ Graduate Record Exam (GRE) scores are predictive of grades once enrolled at the university. If in your model R2 = .17 how much of the variation in grades is explained by GRE scores?
    Selected Answer:

    17%
    Answers:

    1.7%

    83%

    17%

    There is not enough information provided to tell.
    Response Feedback:

    Correct.

  • Question 4

    20 out of 20 points

    Correct
    What would the null hypothesis be for the research question explored using simple linear regression in the previous question?
    Selected Answer:
    There is no linear relationship between GRE scores and grades.
    Answers:
    Response Feedback:
    Correct.

  • Question 5

    20 out of 20 points

    Correct

    What can you conclude from this output from a linear regression analysis of GRE scores and grades that results in the following data: the slope coefficient (B) for GRE scores is .037 with a significance level of .018?
    Selected Answer:

    You should reject the null hypothesis, and accept the alternative hypothesis that there is a linear relationship between GRE scores and grades because the p-value is less than .05.
    Answers:

    You should reject the null hypothesis, and accept the alternative hypothesis that there is a linear relationship between GRE scores and grades because the p-value is less than .05.

    You should reject the null hypothesis, and accept the alternative hypothesis that there is a linear relationship between GRE scores and grades because the standard error is less than 1.0.

    You should accept the null hypothesis and reject the alternative hypothesis that there is a linear relationship between GRE scores and grades because the p-value is less than .05.

    You need more information to draw any conclusions.
    Response Feedback:

    Correct.
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