AAT (H) Linear regression day 2 All Calculator All the time Work on each of the following Questions using the calculator to graph the Best fit line. Write the equation from the calculator, and use that to answer the following questions. 1) During cold season, TV weather reporters usually give wind-chill temperatures as well as actual temperatures. The wind-chill temperature is an estimate of how the wind makes the outside temperature feel. The following table shows actual temperatures and wind-chill temperature equivalents when the wind velocity is 5 miles per hour. Thus, for example, a temperature of 45 F with a wind of 5mph feels like a temperature of 43 F with no wind. Actual Temp. F 45 35 25 15 5 -5 -15 -25 Wind-chill Temp. F 43 32 22 11 0 -10 -21 -31 a) Let x represent the Actual Temperature and y represent the Wind-chill Temp. Plot the points and write down the regression equation represented from the data. b) Estimate the wind-chill temperature for 18 F actual temperature c) Now, work in reverse. Estimate the Actual temperature for a wind-chill of 25 2) The following science project relates the miles per gallon of a hybrid car to its speed (miles per hour). Using the calculator, make a scatterplot of the data and write the linear regression model from the data below. Speed (mile per hour) Mileage (miles per gallon) 30 34 40 33.5 50 31.5 60 29 70 27.5 Linear regression model a) Predict the mileage for a speed of 55 miles per hour. b) Predict the mileage for a speed of 28 miles per hour. c) If your gas light came on which means you have 2 gallons left. What would your speed have to be in order to make it to the next gas station 64 miles away. The following table give the heights of 10 tall buildings in the United States in stories and feet. City Chicago New York New York Chicago Chicago New York New York Atlanta Los Angeles Chicago Building Willis Tower Empire State Building Bank of America Tower Aon Center John Hancock Center Chrysler Building New York Times Building Bank of America Plaza U.S. Bank Tower, AT&T Corporate Center, Feet 1450 1250 1201 1135 1129 1047 1047 1024 1020 1007 Stories 108 102 54 83 100 77 52 55 73 60 Make a scatter plot where x represents the stories and y represents the height in feet. Why do you suppose we let x = the number of stories in the model? Find the linear regression model for the data shown and use that to answer the following questions. Linear regression model a) according to our model, how tall would a 140 story building be? b) The Burj Khalifa, a skyscraper in Dubai, United Arab Emirates, is currently the tallest structure in the world at 2717 feet with 160 floors. Does our model accurately predict this? Why or why not. c) The Canton Tower, formerly Guangzhou TV and Sightseeing Tower, is an observation tower in the Haizhu District of Guangzhou, Guangdong, China. Topping out at a whopping 2000 feet, use your model to find out how many more stories this has compared to the Willis Tower, the one just in our back yard.