Question 26 6 pts A regression was used to predict weight of the bears. Use the regression results to answer the following question: Give the least squares regression equation for this analysis. **Must be the full equation. No partial credit.** SUMMARY OUTPUT Regression Statistics Multiple R 0.972 .l R Square 0.944 Adjusted R Square 0.943 Standard Error 26.376 Observations 143 ANOVA df 5SS MS F Significance F Regression 2 1637853.902 818926.9508 1177.109655 2.77676E-88 Residual 140 97399.39916 695.709994 Total 142 1735253.301 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -280.84 10.02 -28.04 0.00 -300.64 -261.04 -300.64 -261.04 NeckG 6.61 1.28 5.17 0.00 4.08 9.14 4.08 9.14 ChestG 9.14 0.79 11.62 0.00 7.59 10.70 7.59 10.70 Edit View Insert Format Tools Table 12pt Paragraph \" B /7 U A+v v T12v : 4 000001