1. Compute Pearson's r between the life satisfaction variable and the family income variable in Table 1. Test the r for statistical significance, and draw conclusions about the meaning of the test.
2. Compute a Pearson correlation coefficient between the age and the family income variable using the data in Table 1. Then compute the correlation again, deleting the individual with the very extreme income of $2,800,000. Notice how the presence of outliers can influence the correlation coefficient.
3. Compute the correlation between age and family income again using only the individuals in Table 1 who have an income less than $30,000. Again, notice how the correlation coefficient changes.
