1) Given the length of a humans femur, x, and the length of a humans humerus, y, would you expect a positive correlation, a negative correlation, or no correlation? 2) Given the size of a humans brain, x, and their score on an IQ test, y, would you expect a positive correlation, a negative correlation, or no correlation? 4) Given the equation of a regression line is y ^ = -5.5x- 9.4, what is the best predicted value for y given x = -2.8? Assume that the variables x and y have a significant correlation. 5) Given the equation of a regression line is y ^ = 2x - 5, what is the best predicted value for y given x = 10? Assume that the variables x and y have a significant correlation.

6) Use the regression equation to predict the value of y for x = 2.2. Assume that the variables x and y have a significant correlation.

7) Find the standard error of estimate, se, for the data below, given that y ^ = -2.5x.

8) A researcher found a significant relationship between a students IQ, x1, grade point average, x2, and the score, y, on the verbal section of the SAT test. The relationship can be represented by the multiple regression equation y ^ = 250 + 1.5x1 + 80x2. Predict the SAT verbal score of a student whose IQ is 129 and grade point average is 3.8. 9) A researcher found a significant relationship between a person's age, x1, the number of hours a person works per week, x2, and the number of accidents, y, the person has per year. The relationship can be represented by the multiple regression equation y ^ = -3.2 + 0.012x1 + 0.23x2. Predict the number of accidents per year (to the nearest whole number) for a person whose age is 47 and who works 46 hours per week. 10) Given the equation of a regression line is y ^ = -1.04x + 50.3, determine whether there is a positive linear correlation or a negative linear correlation.