17 X fx A B C D E F G H Hb PCV 15.5 0.45 B 13.6 0.42 4 13.5 0.44 5 13 0.395 6 13.3 0.395 R Square 7 12.4 0.37 SUMMARY OUTPUT Regression Statistics Multiple R 0.869886 0.756701 Adjusted R 0.736426 + 8 11.1 0.39 Standard Ei 0.01529 9 12.1 0.4 Observation 14 10 16.1 0.445 11 16.4 0.47 ANOVA 12 13.4 0.39 df 13 13.2 0.4 14 14.3 0.42 15 16.1 0.45 Regression Residual Total 1 0.008725 0.008725 37.32199 12 0.002805 0.000234 13 0.01153 SS MS F Significance F 5.26222E-05 16 17 18 19 Coefficients andard Erre t Stat P-value Intercept 0.195176 0.036504 5.346644 0.000175 Hb 0.015992 0.002618 6.109172 5.26E-05 Lower 95% Upper 95% ower 95.0%pper 95.0% 0.115639681 0.274712 0.11564 0.274712 0.010288812 0.021696 0.010289 0.021696 ne (1) + ANOVA df SS MS F Significance F Regression Residual Total 1 0.008725 0.008725 37.32199 12 0.002805 0.000234 5.26222E-05 13 0.01153 Link to spreadsheet 1) What is the explained variance? Type as: ####### Check Show answer 2) What is the total variance? Type as: #.###### Check Show answer 3) What percent of the variance in PCV can be explained from the variance in Hb? Type as: ###% A researcher examines how well the amount of hemoglobin (Hb) in blood can predict packed cell volume (PCV). Use the analysis of variance table below to answer the following questions.