Nutrition education programs, which teach clients how to lose weight, reduce cholesterol intake, or reduce fat intake through better eating patterns, have been growing in popularity. The nurse in charge of one such program at a local hospital wanted to know whether the programs actually work to improve health measures. A random sample was drawn of 66 clients who attended a nutrition education program.The study recorded the following health measures: weight, cholesterol levels, total dietary fat intake per average day, total dietary cholesterol intake per average day, and percent of daily calories from fat. These data were gathered both before the program started and 3 months after the program. The researcher also determined the clients' genders, ages, and heights. The data are stored in the following way:

Column A: Gender (1 = female; 2 = male)

Column B: Age

Column C: Height (in feet)

Columns H and I: Total Dietary Fat Intake per average day, before and after (in grams)

Columns J and K: Dietary Cholesterol Intake per average day, before and after (in milligrams)

For the variables Total Dietary Fat Intake and Dietary Cholesterol Intake answer the following research questions. Consider each heath measures variable individually. Do not try to incorporate both of your variables into one test for any of the research questions.Also, be aware that you may need to reorganize the data to run the tests and/or create new variables. Remember that required conditions are dependent on the test chosen, so you MUST decide the test for each question BEFORE you check required conditions. You WILL have separate required conditions for each research question!

a) In terms of each of the health measures is there enough evidence to conclude that the program is a success?

b) Can the researchers conclude that age impacts the amount of reduction in each measure )?

c) Do males and females differ in the amount of reduction for each measure?

**Do not need the full work completed for these questions but do need to know what required conditions need to be checked to answer each question and to know what happens if on question b with the regression analysis we determine that the model is not a good fit (what would be the next step to answer this question)?