You are given the following data, where $\displaystyle {X}_{{1}}$ (final percentage in math class) and $\displaystyle {X}_{{2}}$ (number of absences) are used to predict $\displaystyle {Y}$ (standardized math test score in fourth grade):

$\displaystyle {X}_{{1}}$	$\displaystyle {X}_{{2}}$	$\displaystyle {Y}$
61	5	310
78	3	350
80	2	420
92	6	375
82	0	400
80	1	390
95	2	415
65	7	300
88	3	375
99	0	485
92	2	465
89	1	450
70	3	345

Determine the following multiple regression values.

Report intercept and slopes for regression equation accurate to at least 2 decimal places:
    Intercept:  $\displaystyle {b}_{{0}}=$
    Partial slope $\displaystyle {X}_{{1}}$:  $\displaystyle {b}_{{1}}=$
    Partial slope $\displaystyle {X}_{{2}}$:  $\displaystyle {b}_{{2}}=$


Report the coefficient of multiple determination for the model (NOT the adjusted $\displaystyle {R}^{{2}}$) and the sum of squares total accurate to at least 2 decimal places:
    $\displaystyle {R}^{{2}}=$
    $\displaystyle {S}{S}_{{\text{Total}}}=$

Test the significance of the overall regression model. 
    F-test statistic =
    P-value =

Report the Mean Squares residuals accurate to 2 decimal places:
   

Report the test statistics for the regression coefficients accurate to 2 decimal places:
    The test statistics for $\displaystyle {b}_{{1}}$, $\displaystyle {t}=$
    The test statistics for $\displaystyle {b}_{{2}}$, $\displaystyle {t}=$