Paragraph Styles Use this information for Questions 24-26. The following is output from a Linear Regression Model used to examined a students expected exam score (maximum 100%) based on hours studied. SUMMARY OUTPUT Regression Statistics Multiple R 0.925683236 R Square 0.856889453 Adjusted R Square 0.821111816 Standard Error 5.467377394 Observations 6 ANOVA SS MS Significance F Regression 1 715.9311377 715.9311377 23.95042067 0. 008079 247 Residual 4 119.5688623 29.89221557 Total 5 Coefficients Standard Error t Stat P-value lower 9595 Upper 95%% Lower 95.0% Upper 95.096 Intercept 66.39520958 3.976336473 16.69758332 7.53742E-05 55.35512964 77.43528952 55.35512964 77.43528952 Hours 5.856287425 1.196646323 4.893916701 0.008079247 2.533864599 9.178710251 2.533864599 9.178710251 1) Use the above regression output to predict a student's score if he/she studies 12 hours for the exam. A. 85.0% B. 100.0% C. 136.7% D. The model is flawed and produces result outside the range of the data