Math Problem Statement
Suppose that you run a correlation and find the correlation coefficient is 0.456 and the regression equation is . The mean values of your data were and .
If the critical value is .632, use the appropriate method to predict the value when is 7.2
Solution
To predict the value when , we need the full regression equation, which appears to be missing from your question. However, based on the information you provided (a correlation coefficient of 0.456 and a critical value of 0.632), I will walk you through the typical steps for prediction when a correlation and regression are involved.
Steps to Predict the Value:
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Identify the Regression Equation: Typically, a regression equation has the form: where:
- is the dependent variable (what you're predicting),
- is the independent variable (the value you're inputting),
- is the y-intercept, and
- is the slope of the regression line.
Without the specific equation, I cannot predict the value. If you provide the equation, I can give the exact prediction.
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Check the Significance of the Correlation: Since the critical value is given as 0.632, compare the correlation coefficient (0.456) with this value:
- If the absolute value of the correlation coefficient () is greater than the critical value, the correlation is considered statistically significant. In this case: This indicates that the correlation is not significant at the given level, which suggests that prediction may not be reliable.
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Prediction Using the Regression Equation: If you find the regression equation, substitute into the equation to predict .
Example:
If you had the regression equation (e.g., ), you would substitute like this: Thus, the predicted value for when would be 8.26.
Would you like to provide the regression equation and the means of the data to get the exact prediction, or do you need further clarification on any of the steps?
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Math Problem Analysis
Mathematical Concepts
Correlation
Regression
Prediction
Formulas
Regression equation: y = a + b * x
Theorems
Significance of correlation
Critical value comparison
Suitable Grade Level
Grades 11-12
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