The following is output from a Linear Regression Model used to examine a student's expected exam score (maximum 100%) based on hours studied.

1. Use the above regression output to predict a student's score if he/she studies 4.25 hours for the exam.
2. No score can be computed with a decimal input.
3. 90.93%
4. 92.88%
5. 97.50%

1. Using standard measures of significance, how could one determine if the number of hours studied is a significant predictor of exam scores?
   1. An intercept coefficient result of greater than 50.
   2. A t-statistic > .05
   3. A t-critical value of > .05
   4. A p-value of < .05

1. What is the SST of this model?
   1. 1488.83
   2. 1284.51
   3. 835.50
   4. 521.23