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Stats 2. Average temperature and number of shark attacks are strongly positively correlated (r = 0.717). Use the following descriptive statistics to create a regression

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2. Average temperature and number of shark attacks are strongly positively correlated (r = 0.717). Use the following descriptive statistics to create a regression model that uses the average temperature to predict the number of shark attacks. Show your work and round all of the numbers in your calculations to 3 decimal points. Average temperature Shark attacks Standard 7.278 8.435 deviation mean 65.738 34.000 a. What is the independent variable? b. What is the dependent variable? c. What is the formula for the regression model? d. Interpret the slope of the model in context.e. Interpret the y-intercept of the model in context. Does it make logical sense in this case? f. Use the model to predict the number of shark attacks in a month where the average temperature is 72 degrees. Interpret your result in context

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