We calculate whether each individual independent variable in the model is statistically significant by conducting a t-test, and this test allows us to describe the effect of a variable on our outcome variable, net of the effects of other independent variables. What is the general null hypothesis of the t-test and what is the alternative hypothesis? Describe the general idea behind this test of statistical significance and note the distinction between a one-tailed and a two-tailed test. (200 word minimum)

Coefficients" Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig. (Constant) 887.244 39.410 22.513 000 famincome 1.247 304 696 4.107 000 siblings -1.071 2.833 -.042 ..378 708 ratio -.918 1.310 -.114 -.701 487 prevattempt 1.394 8.070 020 .173 864 midwest 3.206 10.857 039 .295 769 south .152 11.934 002 013 .990 west -17.453 10.839 -.215 -1.610 115 2 (Constant) 515.342 57.583 8.950 000 famincome 1.064 .202 594 5.256 000 siblings -4.260 1.925 -.167 -2.214 .033 ratio -.680 .867 -.085 -.784 438 prevattempt 15.366 5.675 .224 2.708 010 midwest 11.488 7.271 141 1.580 122 south 7.075 7.950 090 890 379 west -18.198 7.169 -.224 -2.538 015 height 2.124 293 .559 7.243 000 3 (Constant) 837.657 55.543 15.081 000 famincome 950 129 .530 7.361 000 siblings -1.841 1.259 -.072 -1.462 152 ratio -1.407 557 -.175 -2.526 016 prevattempt 6.179 3.788 090 1.631 111 midwest 9.930 4.610 122 2.154 038 south 7.299 5.036 092 1.449 155 west -7.683 4.742 -.094 -1.620 113 height 272 .304 072 895 376 sex 38.933 5.060 .569 7.694 000