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

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

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

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Correct Answer:Verifieda. = 6.3571 + 0.440...View AnswerUnlock this answer nowGet Access to more Verified Answers free of chargeView Full Answer For Free

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

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a. = 6.3571 + 0.440...
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