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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 β0 (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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