Examlex

Solved

A Multiple Regression Analysis Produced the Following Tables Using α\alpha

question 55

Multiple Choice

A multiple regression analysis produced the following tables.  Predictor  Coefficients  Stardard Eror t Statistic p-value  Irtercept 616.6849154.55343.9901080.000947x13.338332.3335481.430580.170675x21.7800750.3356055.304075.83E05\begin{array} { | c | c | c | c | c | } \hline \text { Predictor } & \text { Coefficients } & \text { Stardard Eror } & \boldsymbol { t } \text { Statistic } & p \text {-value } \\\hline \text { Irtercept } & 616.6849 & 154.5534 & 3.990108 & 0.000947 \\\hline \boldsymbol { x } _ { 1 } & - 3.33833 & \mathbf { 2 . 3 3 3 5 4 8 } & - 1.43058 & \mathbf { 0 . 1 7 0 6 7 5 } \\\hline \mathbf { x } _ { 2 } & 1.780075 & \mathbf { 0 . 3 3 5 6 0 5 } & 5.30407 & 5.83 \mathrm { E } - 05 \\\hline\end{array}  Source df SS  MS Fp-value  Repression 212178360891.4814.761170.000286 Residual 1561876.684125.112 Total 17183659.6\begin{array} { | c | c | c | c | c | c | } \hline \text { Source } & \mathrm { df } & \text { SS } & \text { MS } & F & p \text {-value } \\\hline \text { Repression } & 2 & 121783 & 60891.48 & 14.76117 & 0.000286 \\\hline \text { Residual } & 15 & 61876.68 & 4125.112 & & \\\hline \text { Total } & 17 & 183659.6 & & & \\\hline\end{array} Using α\alpha = 0.01 to test the null hypothesis H0: β\beta 1 = β\beta 2 = 0, the critical F value is ____.


Definitions:

Direct Materials Purchases Variance

The difference between the actual cost of direct materials purchased and the expected (budgeted) cost of these materials.

Standard Direct Labor-Hours

The estimated amount of labor time required to produce one unit of output, based on established standards.

Variable Overhead Rate Variance

The difference between the actual and the standard cost of variable overheads in a production process.

Direct Materials Purchases Variance

The difference between the actual cost of direct materials purchased and the expected (or standard) cost, used for budgeting and cost control purposes.

Related Questions