Each student is required to identify individual attributes of interest to them from a sample of 30 respondents (at least) that can provide information about themselves on any two variables that you want to study (e.g., height, age, weight, income, and number of cold drinks, chocolate consumption, ice cream consumption consumed each day or any other data items, etc.).
Use the data collected to find answers to the following questions:

a. Discuss whether any of the bi-variate relations would seem at the outset to be linear. What are the reasons that the relationship is linear or not?

b. Construct scatter diagrams relating to each pair of variables. Were your intuitions from the previous question correct? Do the relationships appear to be linear
c. See if your data is able to generate prediction equations for each pair of variables. Provide a written or verbal interpretation of the regression model, including the coefficients of a and b.
d. Calculate Pearson’s correlation coefficient, r, and the coefficient of determination, r2. Provide a written or verbal interpretation of each

Answer rating: 100% (QA)

ANSWERS A There are three sets of necessary criteria an equation has to meet in order to qualify as a linear one an equation expressing a linear relationship cant consist of more than two variables al... View the full answer