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8-54.

Mitchell likes to study the weather. He is fascinated by the sophistication of the computer models used to make weather predictions. Mitchell wonders if he can make his own model to predict the next day’s high temperature in his area based only on today’s high temperature. He selects days at random and gets the temperatures from the Internet. The results from his computer spreadsheet follow.

A first quadrant scatter plot and increasing line of best fit with the x axis labeled as Random Day High in degrees Fahrenheit and y axis labeled as Next Day High in degrees Fahrenheit. Most of the scatterplots are close to the line. Your teacher will provide you with a model of the graph.

A residual graph with the x axis labeled as Random Day High Temp in degrees Fahrenheit and y axis labeled as residuals in degrees Fahrenheit. The points are scattered above and below the x axis. Your teacher will provide you with a model of the graph.

Random Day ()

Next Day ()

  1. Write a few sentences that describe the association. Remember to include interpretations of slope and .

    See the online help for problem 8-34.

  2. Use the graph to estimate the largest residual. To what point does it belong?

    The largest residual belongs to the day after the degree day with a value of about degrees.

  3. Using the LSRL model, estimate tomorrow’s high temperature based on today’s high temperature of degrees in Mitchell’s area. Use appropriate precision.

    Let in the given LSRL equation.

    degrees

  4. Consider the upper and lower bounds of the prediction Mitchell made in part (c) above. Is Mitchell’s model ready to replace the complex models of the professional meteorologists? Support your answer.

    Draw upper and lover boundary lines on the LSRL graph. How far apart are these lines?