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Part 6. Cystic fibrosis lung function dataset (35 points) For questions in this section, you will be using the cyst fibr dataset from the ISWR package. See the screenshot below for details about this dataset. cystfibr Cystic fibrosis lung function data Description The cystfiber data frame has 25 rows and 10 columns. It contains lung function data for cystic fibrosis patients (7-23 years old). Usage cystfibr Format This data frame contains the following columns: age a numeric vector, age in years. sex a numeric vector code, 0: male, 1:female. height a numeric vector, height (cm) weight a numeric vector, weight (kg) bmp a numeric vector, body mass (% of normal). fev1 a numeric vector, forced expiratory volume. rv a numeric vector, residual volume. frc a numeric vector, functional residual capacity. tlc a numeric vector, total lung capacity pemax a numeric vector, maximum expiratory pressure. Source D.G. Altman (1991). Practical Statistics for Medical Research, Table 12.11, Chapman & Hall. References O' Neill et al. (1983). The effects of chronic hyperinflation, nutritional status, and posture on respi- ratory muscle strength in cystic fibrosis, Am. Rev. Respir Dis., 128:1051-1054.6a) 12 points (3 each answer) Perform a Pearson correlation test between the variables height and age. Provide the information below. Round your answers to three (3) significant figures. p (two-sided): 90% Cl of r: 6b) 5 points Make a presentation quality graph with age on the x-axis and height on the y-axis. Using an acceptable format (e.g., a format demonstrated in class), print the r, p-value, and confidence interval that you calculated above onto an appropriate place in the graph (i.e., not overlapping any data points). Save the graph as a PDF file with the name Exam3_GRAPH_BIO240_FirstnameLastname_20221215.pdf, replacing "FirstnameLastname" with your first and last name (first letter of each name capitalized, no spaces). Submit this PDF file to the instructor via email (along with your completed exam). 6c) 3 points Does the age/height pair of data meet the assumption of multivariate normality? Why or why not? Justify your answer with a p-value. 6d) 3 points Do the age data by themselves meet the assumption of normality? Why or why not? Justify your answer with a p-value. 6e) 3 points Do the height data by themselves meet the assumption of normality? Why or why not? Justify your answer with a p-value