Regression Question 5. For the following output, write out the regression equation (i.e. Ypredicted = b0 + b1*x1 + b2*x2 + b3*x3+ b3*x3+ b4*x4). Explain what the beta coefficients mean for each variable and which variables are significant. Model Summary Adjusted Bid. Error of Model R R Square R Square the Estimate 699 489 479 7.14817 a. Predictors: (Constant), reading score, female, social studies score, math score ANOVA Sum of Model Squares Mean Square Sig Regression 9543.721 2385.930 46.695 00Da Residual 9963.779 195 51.096 Total 19507.500 199 a. Predictors: (Constant, reading score, female, social studies score, math score b. Dependent Variable: science score Coefficients Unstandardized Standardized Coefficients Coefficients 95% Confidence Interval for B Model B Bid. Error Bela Lower Bound Upper Bound Constant 12.32 3.194 3,859 1000 6.027 18.624 math score 389 .074 368 5 252 243 535 female -2.010 1.023 101 -1.905 051 -4.027 007 social studies score 050 062 054 -801 424 -.073 173 reading score 335 073 347 1.607 DOD 192 479 a. Dependent Variable. science score