Multiple regression analysis was used to study the relationship between a dependent variable, Y, and four independent variables; X₁, X₂, X₃ and, X₄. The following is a partial result of the regression analysis involving 31 observations. a.Compute the coefficient of determination. b.Perform a t test and determine whether or not $\beta$₁ is significantly different from zero ($\alpha$= 0.05). c.Perform a t test and determine whether or not $\beta$₄ is significantly different from zero ($\alpha$ = 0.05). d.At $\alpha$ = 0.05, perform an F test and determine whether or not the regression model is significant.

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The Answer of Multiple regression analysis was used to study the relationship between a dependent variable, Y, and four independent variables; X₁, X₂, X₃ and, X₄. The following is a partial result of the regression analysis involving 31 observations. a.Compute the coefficient of determination. b.Perform a t test and determine whether or not $\beta$₁ is significantly different from zero ($\alpha$= 0.05). c.Perform a t test and determine whether or not $\beta$₄ is significantly different from zero ($\alpha$ = 0.05). d.At $\alpha$ = 0.05, perform an F test and determine whether or not the regression model is significant.

Multiple Regression Analysis Was Used to Study the Relationship Between β\betaβ

Multiple Regression Analysis Was Used to Study the Relationship Between $\beta$