Answer Happy

Use this information for Questions 24-26. The following is output from a Linear Regression Model used to examine a student's expected exam score (maximum 100 % ) based on hours studied. SUMMARY OUTPUT Regression Statistics Muple R Rt Square Adjud Squi Standard for Observations ANOVA $5 MS Sign france BOOMER Regression Resid 1 1284.505988 1284.509988 25.14604173 4 204.3273453 5108633 5 Coefficients Standard Stat Lower Intercept Hours 57.50481088 5.198012561 1108015091 000087735 7.844311377 156429868 5014582907 0007413638 43.16281385 72.02580801 43.16281385 72.02580601 3.501118667 12.18750409 3.501118667 12.18750400 24) Use the above regression output to predict a student's score if he/she studies 4.25 hours for the exam A. No score can be computed with a decimal input. B. 90.93% C. 92.88% D. 97.50% 25) Using standard measures of significance, how could one determine if the number of hours studied is a significant predictor of exam scores? A. An intercept coefficient result of greater than 50. B. A t-statistic>.05 C. A t-critical value of > .05 D. A p-value of <.05 26) What is the SST of this model? A. 1488.83 B. 1284.51 C. 835.50 D. 521.23 0.862760095 0828450119 7.147155821 Upper 956 Lower 95.096 Upper 95.096