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Sum of (yi)= 28.9 Sum of (yi)^2=95.51 Sum of (xi)=264 Sum of (xi)^2= 7900 Sum of (xiyi)=856.6. The office wants to know iwhether the SAT scores (x) is related to students GPA (y). They collected the following data from 9 students. A. Calculate the least squares estimates of the slope and intercept and calculate sigma^2. B> use the equation of the fitted line to predict what gpa would be expected when the SAT score is 32. C. Determine the significance of the regression model at alpha=.05.

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