Question 11 1 pts Below is an EViews extract which presents the results of a regression of math scores (math_scr) on the number of computers per student (comp_stu). Dependent Variable: MATH_SCR Method: Least Squares Sample: 1 289 Included observations: 289 Huber-White-Hinkley (HC1) heteroskedasticity consistent standard errors and covariance Variable Coefficient Std. Error t-Statistic Prob. C 643.2471 2.673422 240.6081 0.0000 COMP_STU 77.78383 18.08343 4.301387 0.0000 R-squared 0.068441 Mean dependent var 654.0398 Adjusted R-squared 0.065195 S.D. dependent var 19.42331 S.E. of regression 18.77949 Akaike info criterion 8.710304 Sum squared resid 101216.1 Schwarz criterion 8.735677 Log likelihood -1256.639 Hannan-Quinn criter. 8.720471 -statistic 21.08568 Durbin-Watson stat 0.296300 Prob(F-statistic) 0.000007 Wald F-statistic 18.50193 Prob(Wald F-statistic) 0.000023 Using the information shown on this EViews extract, which of the following statements are true? An additional computer per student would increase math scores by 77.78 points on average. The predicted math score in a school without any computers is 654.04 points. Given the p-value for the slope coefficient, we conclude that computers have a statistically significant effect. This regression explains around 6.8% of variation in computer use across schools. The results from the significance test on the slope imply that computers have a causal effect on math scores