Quantitative data analysts are often fond of saying that correlation does not imply causation. What do we mean by this? What criteria do we use to deduce a causal inference between variables? Use one independent variable from the regression above to demonstrate that its relationship with the dependent variable meets the criteria necessary for causality. (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