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If a regression equation is:  GPA = 0.5(hours per week studying) – 0.75(hours per week partying) + 1. Which variable is inversely related to GPA?
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| a. | Neither are inversely related. | |
| b. | Both are inversely related. | |
| c. | Hrs studying is inversely related. | |
| d. | Hrs partying is inversely related. |
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Whenever you want to know how much variability one variable accounts for in another, you need to find the:
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| a. | r | |
| b. | r squared | |
| c. | slope | |
| d. | SEE (standard error of estimate) |
Which of the following correlations is the strongest?
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| a. | 0.95 | |
| b. | 0.56 | |
| c. | -0.96 | |
| d. | -0.95 |
A regression is performed to quantify the relationship between x and y. What information does this analysis give you?
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| a. | The r | |
| b. | The line of best fit | |
| c. | The standard error of estimate | |
| d. | All of the above |
A regression analysis was performed between two variables, x and y. The equation for this line of best fit for the relationship between the x and the y was: y = 54x +2. If someone had a x = 1, what was the y?
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| a. | 56 | |
| b. | 54 | |
| c. | 2 | |
| d. | Can’t be determined. |
Which of the following correlation coefficients shows an inverse relationship?
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| a. | 0.90 | |
| b. | -0.77 | |
| c. | 0.77 | |
| d. | 0.04 |
A regression equation will have the format y = mx + b. What is the m?
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| a. | The variable on the x axis. | |
| b. | The variable on the y axis. | |
| c. | The y intercept. | |
| d. | The slope of the line.
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A correlation coefficient is a number that looks like what?
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| a. | AÂ number between 0 and 1.0 that can be positive or negative | ||||||||||||||||
| b. | A positive number between 1 and 100 | ||||||||||||||||
| c. | A negative number between -1 and -100 | ||||||||||||||||
| d. | None of the above
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Measures of association include w
hich of the following?
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The advantage of an r squared over an r is: a. An r squared shows the direction of the relationship b. An r squared can be compared to 1.0 c. An r squared can be compared directly to another r squared d. There is no advantage of an r squared over an r
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