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    1- Using the standard linear function for a straight line, what is the slope coefficient for a line with the defining points of (2,3) (6,12)?

    a.    1.875

    b.    3.51

    c.     2.25

    d.    2.55

    2)    2- In the regression equation, what does ?0 (beta 0) stand for?

    a.    The error term

    b.    The slope coefficient

    c.     The dependent variable

    d.    The Y intercept

    3)    3- If a given correlation has an R of -.90, the slope is:

    a.    Strongly negative

    b.    Strongly positive

    c.     Moderately negative

    d.    Moderately positive

    4)    4- Which of the following is/are true about correlations?

    a.    R is calculated by (observed covariance)/(maximum possible positive covariance)

    b.    A correlation produces a predictive coefficient

    c.     An r is figured using Z-scores

    d.    Correlation can be done using only the X axis

    e.    R is also known as the “coefficient of correlation”

    5)    5- Outliers have little or no effect on correlations or regressions.

    a.    True

    b.    False

    6)    6- What is the r-crit for an n of 18, with an alpha of .01, two-tailed?

    a.    .590

    b.    .875

    c.     .468

    d.    .558

    7)    7- For a regression that has an r-squared of .39, what is the “explained error” of the regression equation?

    a.    .39

    b.    .48

    c.     .61

    d.    .624

    8)    8- Which of the following are assumptions for linear regressions?

    a.    Data elements must be independent

    b.    The data must produce a straight line

    c.     The distribution of errors must be normal

    d.    The data must be ratio or interval

    9)    9- Which of the following is NOT a type of regression?

    a.    Logistic

    b.    Berkeley nonlinear

    c.     Stepwise

    d.    Stairstep

    e.    Polynomial

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