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An independent variable (x) is used to predict a dependent variable (y). Answer the questions for each scenario based on the data in the table

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An independent variable (x) is used to predict a dependent variable (y). Answer the questions for each scenario based on the data in the table below. Remember that if a correlation is not significant, the best predictor of y is simply y-bar. Each scenario shows the sample size (n), the correlation (r), the regression equation (y=mx+b), and an alpha value for an relationship between x and y. For scenario 1 Is the correlation significant? (answer "yes" or "no") Given x=2, what is the best prediction of the value of y ? (round to 1 decimal) For scenario 2 Is the correlation significant? (answer "yes" or "no") Given x=3, what is the best prediction of the value of y ? (round to 1 decimal) For scenario 3 Is the correlation significant? (answer "yes" or "no") Given x=6, what is the best prediction of the value of y ? (round to 1 decimal)

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