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Good Afternoon! Im needing assistance on how to answer these questions for scopes and methods. D. re for this relationship. E. Showing your work, calculate

Good Afternoon!

Im needing assistance on how to answer these questions for scopes and methods.

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D. re for this relationship. E. Showing your work, calculate adjusted R-square for this relationship. 3. 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 Tract 4 Tract 5 Tract 6 Tract 7 Tract 8 Tract 9 Tract 10 A. (i) What is the regression equation for this relationship? (ii) Interpret the regression coefficient. s the effect of x on y? (Hint: The table gives information on the independentTract 3 Tract 4 Tract 5 Tract 6 Tract 7 Tract 8 Tract 9 Tract 10 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. "Do gun owners give the Republican Party higher ratings than do people who do not own guns? To find out, a researcher tests a regression model in which the dependent variable, v. is a feeling thermometer scale of the Republican Party. Respondents can give the Republican Party ratings that range from 0 (cold or negative) to 100 (warm or positive ) able, named "owner," coded 1 for respondents who dent variable, x. Here

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