If finding a regression line for the data is reasonable, then find the regression equation for the data points. Select the correct choice below and fill in any answer boxes within your choice. A.y=enter your response here+enter your response herex(Round to two decimal places as needed.) B.Not applicable since a regression line for the data is not reasonable d. If finding a regression line for the data is reasonable, then identify any outliers and potential influential observations. A.There is at least one outlier and at least one influential observation. B.There are no outliers and there is one influential observation. C.There is one outlier and there are no influential observations. D.There are no outliers and no influential observations. E.Not applicable since a regression line for the data is not reasonable e. If finding a regression line for the data is reasonable, thenincase a potential outlier is present, remove it and discuss the effect. Select the correct choice below and fill in any answer boxes within your choice. A.After removing the outlier(s), the regression line isy=enter your response here+enter your response herex,which is approximately the same as the original regression line.(Round to two decimal places as needed.) B.After removing the outlier(s), the regression line isy=enter your response here+enter your response herex,which is significantly different from the original regression line.(Round to two decimal places as needed.) C.There are no outliers. D.Not applicable since a regression line for the data is not reasonable f. If finding a regression line for the data is reasonable, thenincase a potential influential observation is present, remove it and discuss the effect. Select the correct choice below and fill in any answer boxes within your choice. A.After removing the influential observation(s), the regression line isy=enter your response here+enter your response herex,which is significantly different from the original regression line.(Round to two decimal places as needed.) B.After removing the influential observation(s), the regression line isy=enter your response here+enter your response herex,which is approximately the same as the original regression line.(Round to two decimal places as needed.) C.There are no influential observations. D.Not applicable since a regression line for the data is not reasonable County assessors use computerized systems to value single-family residentialproperties for property tax purposes. Given below are the data on lot size (in acres)and assessed value (in thousands of dollars) for a sample of homes in an area.Complete parts (a) through (f).Click the icon to view the data.a. Graph the data points.O A.Value ($1000)800-700-600-500400-300-200+12Lot Size (acresB.There isa linear regressionValue ($1000)800-700-600-500-400-300-200+1O C.23Lot Size (acresValue ($1000)800-700-600-500-400-300-200+123Lot Size (acresO D.Value ($1000)800-700-600-500-400-300-200+1b. Decide whether finding a regression line for the data is reasonable.to the data, so it is2 3Lot Size (acresto carry out Lot Size and ValueLot Size2.372.092.212.212.102.062.032.442.142.632.022.092.982.052.172.182.13Value400355582262637271284738550331415381442611387332203PrintLot Size2.582.022.052.092.322.022.902.202.032.002.012.632.952.082.282.092.61DoneValue328308388466687319650305541520600512719379323479475-X

Question

If finding a regression line for the data is​ reasonable, then find the regression equation for the data points. Select the correct choice below and fill in any answer boxes within your choice.  A.y=enter your response here+enter your response herex​(Round to two decimal places as​ needed.) B.Not applicable since a regression line for the data is not reasonable d. If finding a regression line for the data is​ reasonable, then identify any outliers and potential influential observations.  A.There is at least one outlier and at least one influential observation. B.There are no outliers and there is one influential observation. C.There is one outlier and there are no influential observations. D.There are no outliers and no influential observations. E.Not applicable since a regression line for the data is not reasonable e. If finding a regression line for the data is​ reasonable, thenincase a potential outlier is​ present, remove it and discuss the effect. Select the correct choice below and fill in any answer boxes within your choice.  A.After removing the​ outlier(s), the regression line isy=enter your response here+enter your response here​x,which is approximately the same as the original regression line.​(Round to two decimal places as​ needed.) B.After removing the​ outlier(s), the regression line isy=enter your response here+enter your response here​x,which is significantly different from the original regression line.​(Round to two decimal places as​ needed.) C.There are no outliers. D.Not applicable since a regression line for the data is not reasonable f. If finding a regression line for the data is​ reasonable, thenincase a potential influential observation is​ present, remove it and discuss the effect. Select the correct choice below and fill in any answer boxes within your choice.  A.After removing the influential​ observation(s), the regression line isy=enter your response here+enter your response here​x,which is significantly different from the original regression line.​(Round to two decimal places as​ needed.) B.After removing the influential​ observation(s), the regression line isy=enter your response here+enter your response here​x,which is approximately the same as the original regression line.​(Round to two decimal places as​ needed.) C.There are no influential observations. D.Not applicable since a regression line for the data is not reasonable County assessors use computerized systems to value single-family residentialproperties for property tax purposes. Given below are the data on lot size (in acres)and assessed value (in thousands of dollars) for a sample of homes in an area.Complete parts (a) through (f).Click the icon to view the data.a. Graph the data points.O A.Value ($1000)800-700-600-500400-300-200+12Lot Size (acresB.There isa linear regressionValue ($1000)800-700-600-500-400-300-200+1O C.23Lot Size (acresValue ($1000)800-700-600-500-400-300-200+123Lot Size (acresO D.Value ($1000)800-700-600-500-400-300-200+1b. Decide whether finding a regression line for the data is reasonable.to the data, so it is2 3Lot Size (acresto carry out Lot Size and ValueLot Size2.372.092.212.212.102.062.032.442.142.632.022.092.982.052.172.182.13Value400355582262637271284738550331415381442611387332203PrintLot Size2.582.022.052.092.322.022.902.202.032.002.012.632.952.082.282.092.61DoneValue328308388466687319650305541520600512719379323479475-X

Accepted Answer

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