For each of the data sets below, do the following:

1. Make a scatterplot of the data.

2. In a sentence or two, describe any patterns or features you see in the data.

3. Calculate the least squares regression line for the data and write it in slope-intercept form.

4. In a sentence or two, describe how well the least squares regression line fits the data.

5. Calculate the correlation coefficient r and the coefficient of determination r^2 .

6. In a sentence or two, describe what the correlation coefficient says about the linearity of the relationship in the data.

7. Calculate the residual of the 3rd data point.

8. Use the least squares regression line to make a prediction: a. For the first data set, predict the air temperature at 1050 cricket chirps. b. For the second data set, predict the IQ of a person whose brain size is 1100 cm3

Data sets Cricket Chips in Air Temperature Brain Size 1 Minute (" F) (cm]) 882 69.7 965 90 1188 93.3 1029 85 1104 84.3 1030 86 864 76.3 1285 102 1200 88.6 1049 103 1032 82.6 1077 97 960 71.6 1037 124 900 79.6 1068 125 1176 102 1105 114