late and write in the appropriate values in each column. C. Show your calculation of Pearson's r for the relationship. D. Calculate R-square for this relationship. E. Showing your work, calculate adjusted R-square for this relationship. a The U.S. Department of Agriculture defines a food desert as a census tract in which a sizeable percentage of the tract's population resides a long distance from the nearest supermarket or large grocery store. Below are fabricated data for ten census tracts. The independent variable is percent low-income residents; the dependent variable is the distance (in miles) between each tract and the nearest grocery store. The hypothesis: In a comparison of census tracts, those with higher percentages of low-income residents will be farther from the nearest grocery store than will tracts having lower percentages low-income residents. Census tract Percent low-income (x) Distance in miles (y) Tract 1 Tract 2 Tract 3 10 Tract 4 10 Tract 5 20 Tract 6 20 Tract 7 30 1.3 Tract 8 30 Tract 9 40 1.4 40 1.6 Tract 10isus tracts, those Ill be farther from the nearest grocery store Percentages low-income residents. Census tract Percent low-income (x) Distance in miles (y) Tract 1 Tract 2 Tract 3 Tract 4 10 Tract 5 10 Tract 6 20 Tract 7 20 1.0 Tract 8 30 1.1 30 1.3 Tract 9 40 1.4 Tract 10 40 1.6 A. (i) What is the regression equation for this relationship? (ii) Interpret the regression coefficient. What, exactly, is the effect of x on y? (Hint: The table gives information on the independent variable in ten-unit changes: 0 percent, 10 percent, 20 percent, and so on. Remember that a regression coefficient estimates change in the dependent variable for each one-unit change in the independent variable.) B. Interpret the y-intercept. What does the intercept tell you, exactly? C. Based on this equation, what is the predicted value of y for census tracts that are 15 percent low-income? Census blocks that are 25 percent low-income? D. Adjusted R-square for these data is .94. Interpret this value. 4. Do gun owners give the Republican Party higher ratings than do people who do not own