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A Regression and Correlation Analysis Resulted in the Following Information Σ\Sigma

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A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).
Σ\Sigma X = 42
Σ\Sigma (Y -  A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).  \Sigma X = 42  \Sigma (Y -   )(X -   ) = 37  \Sigma Y = 63  \Sigma (X -   )<sup>2</sup> = 84 n = 7  \Sigma  (Y -   )<sup>2</sup> = 28    a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let  \alpha  = 0.05. d.Compute the coefficient of determination. )(X -  A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).  \Sigma X = 42  \Sigma (Y -   )(X -   ) = 37  \Sigma Y = 63  \Sigma (X -   )<sup>2</sup> = 84 n = 7  \Sigma  (Y -   )<sup>2</sup> = 28    a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let  \alpha  = 0.05. d.Compute the coefficient of determination. ) = 37
Σ\Sigma Y = 63
Σ\Sigma (X -  A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).  \Sigma X = 42  \Sigma (Y -   )(X -   ) = 37  \Sigma Y = 63  \Sigma (X -   )<sup>2</sup> = 84 n = 7  \Sigma  (Y -   )<sup>2</sup> = 28    a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let  \alpha  = 0.05. d.Compute the coefficient of determination. )2 = 84
n = 7
Σ\Sigma (Y -  A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).  \Sigma X = 42  \Sigma (Y -   )(X -   ) = 37  \Sigma Y = 63  \Sigma (X -   )<sup>2</sup> = 84 n = 7  \Sigma  (Y -   )<sup>2</sup> = 28    a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let  \alpha  = 0.05. d.Compute the coefficient of determination. )2 = 28  A regression and correlation analysis resulted in the following information regarding an independent variable (x) and a dependent variable (y).  \Sigma X = 42  \Sigma (Y -   )(X -   ) = 37  \Sigma Y = 63  \Sigma (X -   )<sup>2</sup> = 84 n = 7  \Sigma  (Y -   )<sup>2</sup> = 28    a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let  \alpha  = 0.05. d.Compute the coefficient of determination.
a.Develop the least squares estimated regression equation.
b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero.
c.Perform an F test to determine whether or not the model is significant. Let α\alpha = 0.05.
d.Compute the coefficient of determination.


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