9. When using logistic regression to look at the effect of level of satisfaction with an educational program on whether a student obtained a job at graduation, including satisfaction as a continuous variable in the logistic regression would provide similar results to which of the following contingency table methods (list all that apply): a. CMH (row 2) with satisfaction as the column variable b. CMH (row 1) c. CMH (row 2) with obtained job as the column variable d. CMH (row 3) Pearson chi-square

If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?

Does Table 1 represent a linear function? If so, finda linear equation that models the data.

Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.