Q1 In 1-2 sentences, explain which type of function best models the data in the table? How do you know?	Q2 In 1-2 sentences, explain why one cannot use a scatter plot for categorical data.
Q3 The height (in inches) of the starting 5 players on the intramural basketball team is shown. 66, 70, 63, 75, 66 What is the five number summary of the data? What is the standard deviation of the data? Show your work.
Q4 Jazmin used a graphing calculator to graph a given dataset. She found that the trend line of her data isy=-0.694x+17.22 and that the correlation coefficient is0.9153. What conclusion should Jazmin make about the appropriateness of the linear model she found?
Q5 Correlation coefficients are an effective tool for determining if the results of a survey or project are strong or weak. In 3-5 sentences, create a situation where you would want to see the correlation between two variables. Would you want a strong or weak correlation? What would it mean if you had a negative correlation? What would it mean if you had a positive correlation?
Q6 A running shoe company is collecting data on long-distance runners. The company's research analyst asked runners how many pairs of running shoes they purchase each year and how many miles they run each week, on average. The results are summarized in the table. Determine if there is an association between the number of miles an individual runs per week and how many pairs of running shoes they purchase per year. Create a conditional relative frequency table of the data. Use your table to support your reasoning. Explain your reasoning in 3-5 sentences.