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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 (23) (612)?
    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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