3.  For each given scatter diagram, determine whether there is a relationship between the variables. STAND UP!!!

9.  Interpolating – making a prediction within the range of the data  Extrapolating – making a prediction outside of the range of the data **Remember that a prediction made by extrapolating or interpolating the data is a guess and it may be incorrect.

10. Size (sq ft) Price (thousands of dollars) 1100 259 1200 280 1350 299 1625 335 2200 419  The following table shows the relationship between the size of a house in square feet and the selling price in dollars.  Make a scatter diagram using the data given.  Draw a line that appears to fit the data.  Use your graph to estimate the cost of a house with 1500 ft 2.  Use your graph to estimate the cost of a house with 2400 ft 2.

12. Temp (°F)% Injured 46 4.7 72 12.3 59 6.5 56 5.9 54 6.6 70 10.3 68 8.4 48 4.0  The table shows the temperature at the start of the race and the percentage of runners injured in eight runnings of the Boston Marathon.  Use a graphing calculator to make a scatter diagram and find the equation of the regression line for the data.  Use the regression equation to estimate the percentage of runners that would be injured if the marathon was run on a day when the temp. was 82°F.  Use the regression equation to estimate the temp. at the start of the race for a race in which 9% of the runners were injured.