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You have two variables that are measured on an interval or ratio scale.
You want to make predictions for one variable based on information about another variable.
The pattern of data points forms a reasonably straight line
There is heteroscedasticity in the scatter plot.
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The independent variable
the dependent variable
Usually denoted by x
Usually denoted by r
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Simple Linear Regression
The square root of the correlation coefficient
Usually less than zero
Equal to zero
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Vertical
Horizontal
Both of these
None of these
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Z-score
SSR
Coefficient of determination
Standard error of the estimate
Option 5
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99% of the time in repeated samples, the interval would contain the true value of the parameter
99% of the time in repeated samples, the interval would contain the estimated value of the parameter
99% of the time in repeated samples, the null hypothesis will be rejected
99% of the time in repeated samples, the null hypothesis will not be rejected when it was false
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The difference between the actual Y values and the mean of Y
The difference between the actual Y values and the predicted Y values.
The predicted value of Y for the average X value.
The square root of the slope
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