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Which of the following statements is not correct regarding the coefficient of correlation.
a. It can range from 1 to 1.
b. Its square is the coefficient of determination.
c. It measures the percent of variation explained.
d. It is a measure of the association between two variables. |
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| c. It measures the percent of variation explained. |
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| The coefficient of determination |
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| a. is usually written as r2. b. cannot be negative. c. is the square of the coefficient of correlation. |
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| The coefficient of correlation was computed to be 0.60. This means |
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| as X increase Y decreases. |
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Which of the following is a stronger correlation than 0.54?
a. 0.67 b. 0.45
c. 0.0 d. 0.45 |
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| A regression equation is used to |
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| b. estimate the value of the dependent variable based on the independent variable. |
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| A regression equation was computed to be Y= = 35 + 6X. The value of the 35 indicates that |
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| a. the regression line crosses the Y-axis at 35. |
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| 7. The standard error of estimate |
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a. is a measure of the variation around the regression line.
b. cannot be negative.
c. is in the same units as the dependent variable. |
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| The variable plotted on the horizontal or X-axis in a scatter diagram is called the |
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| The least squares principle means that |
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| If all the points are on the regression line, then |
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| the standard error of estimate is 0. |
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