Please select the appropriate answer for all 7 questions and then click the submit exam for grading button at the end of the page.

Question 1. What is Linear Regression? (a) A way to make prediction based on given data (b) A way to make prediction about the weather (c) A way to draw scatter plot (d) A way to predict midterm scores

Question 2. What is Correlation of variables? (a) It describes the strength (b) It describes the degree (c) It describes the strength of linear relationship (d) None of the above

Question 3. What is the sum of all deviations of a variable from its mean? (a) 0 (b) 1 (c) 2 (d) 3

Question 4. What is error in linear regression? (a) Fault tolerance (b) Vertical distance between a point and the straight line on the scatter plot (c) Precision (d) Minimize error

Question 5. In order to make predictions, we need to know: (a) Cost of previous contracts (b) SAT scores of former students (c) Some previous data about the problem (d) All of the above

Question 6. What is a scatter plot? (a) A plot of the cost of previous contracts (b) A plot of SAT scores (c) A plot of some data (d) A plot of the given data onto rectangular coordinate system

Question 7. What is the Linear regression equation? (a) xl = b + ay (b) yl = a + bx (c) yl = b + ax (d) xl = a + by