Tough+Math+Exercise+II

=The Tough Math Exercise Part II=  //Question 10:// Name two variables other than those mentioned in this chapter between which you would expect to find a direct relationship on a scattergram. //Answer:// Since scattergrams with direct relationships tend to measure those who will have high scores in one variable that correspond with high scores in another variable, an example would be Algebra test scores and geometry test scores. //Question 11:// Name two variables other than those mentioned in this chapter between which you would expect to find an inverse relationship on a scattergram. //Answer:// You would look for two variables that are considered opposite of each other like happy or sad
 * Chapter 9**

//Question 8:// Suppose you located a reading readiness test (to be given during kindergarten) that had a Pearson r of .40 when correlated with reading achievement measured at the end of first grade. What is the value of the coefficient of determination? On the basis of this, do you think that the reading readiness test is a good predictor of reading achievement? Explain. //Answer:// The coefficient of determination is .16, which means the test is 16% better than nothing. In terms of the percentage, it’s far from perfect. Since it is important to identify those who might have difficulty learning to read, it still is probably valid enough for use, assuming there are no other tests that are better.
 * Chapter 10**

//Question 8:// Name a predictor and an outcome variable studied in your professional field that might be subjected to linear regression in order to make predictions for individuals. //Answer:// Example from book – SAT tests with average freshman GPAs Service industry – Service Aptitude Test with average customer service ratings
 * Chapter 11**