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.At $\alpha$ = 0.05, perform an F test and determine whether or not the regression model is significant. c.Perform a t test and determine whether or not $\beta$₁ is significantly different from zero ($\alpha$ = 0.05). d.Perform a t test and determine whether or not $\beta$₄ is significantly different from zero ($\alpha$ = 0.05).

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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.At $\alpha$ = 0.05, perform an F test and determine whether or not the regression model is significant. c.Perform a t test and determine whether or not $\beta$₁ is significantly different from zero ($\alpha$ = 0.05). d.Perform a t test and determine whether or not $\beta$₄ is significantly different from zero ($\alpha$ = 0.05).

Multiple Regression Analysis Was Used to Study the Relationship Between α\alphaα

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