In: Statistics and Probability
| 
 Tests of Between-Subjects Effects  | 
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| 
 Dependent Variable: EXAM SCORE  | 
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| 
 Source  | 
 Type III Sum of Squares  | 
 df  | 
 Mean Square  | 
 F  | 
 Sig.  | 
| 
 Corrected Model  | 
 1364.414a  | 
 7  | 
 194.916  | 
 3.518  | 
 .001  | 
| 
 Intercept  | 
 281831.987  | 
 1  | 
 281831.987  | 
 5086.866  | 
 .000  | 
| 
 DEGREE  | 
 443.543  | 
 3  | 
 147.848  | 
 2.669  | 
 .049  | 
| 
 GENDER  | 
 92.341  | 
 1  | 
 92.341  | 
 1.667  | 
 .198  | 
| 
 DEGREE * GENDER  | 
 373.523  | 
 3  | 
 124.508  | 
 2.247  | 
 .084  | 
| 
 Error  | 
 10637.541  | 
 192  | 
 55.404  | 
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| 
 Total  | 
 1543777.000  | 
 200  | 
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| 
 Corrected Total  | 
 12001.955  | 
 199  | 
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In the SPSS output above, which of the variables are considered significant? Which null hypothesis would you need to reject?