In Chapter 5, we discussed the Pearson product-moment correlation coefficient used to assess the degree of linear relationship between two variables. Recall that in that chapter we assessed the degree of linear relationship between fat grams and calories by type of McDonald’s hamburger as one example. In Chapter 6, we discussed how this linear relationship could be used to develop a linear prediction system (a linear regression equation) to predict the value of one variable when the value of the other variable is known.
Review the options below to login to check your access.
Log in with your Cambridge Aspire website account to check access.
If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.