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hello i need help with these statistic questions thank you question 11 b. Graph the regression equation and the data points. X B. y O

hello i need help with these statistic questions thank you

question 11

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b. Graph the regression equation and the data points. X B. y O c. y OD. y X XUse the given data set to answer parts (a) and (b). a. Find the regression equation for the data points. b. Graph the regression equation and the data points. a. Find the regression equation for the data points. g: +( )x (Round to two decimal plaoes as needed.) c. Determine the percentage of variation in the observed values of the response variable explained by the regression, and interpret your answer. Select the correct choice below and fill in any answer boxes within your choice A. 94.9% (Round to one decimal place as needed.) X B. It is not appropriate to carry out a linear regression. d. State how useful the regression equation appears to be for making predictions. X A. Not very useful *B. Very useful O C. It is not reasonable to carry out a linear regression.The data given below are the high and low temperatures in January for a random sample of 50 cities. Use the technology of your choice to complete parts [a] through {d}. E Click the icon to View the high and low temperatures. 3. Decide I.otrhether finding a regression line for the data is reasonable. If so. then also do parts (b} through (d). For the purposes of this regression, let High be the explanatory variable (x) and let Low be the response variable (y). There is a linear pattern to the data. so it is reasonable to carry out a linear regression. b. Compute the coefficient of determination, r2. Select the correct choice below and till in any answer boxes within your choice. H 2 LIA, r 2 (Round to three decimal places as needed.) [:1 B. It is not appropriate to carry out a linear regression. \fb. Choose the correct residual plot below. XA. O B. O C. *D. Residual Residual -3- Residual Residual c. Choose the correct normal probability plot of the residuals below. O A. B. O C. O D. 2- 2- Normal score Normal score Normal score Normal score -2- Residual Residual Residual ResidualFor the data and sample regression equation shown below, complete parts (a) through (c). X 0 3 5 5 2 y 5 3 0 -2 y =4.733 - 1.111x a. Determine the standard error of the estimate. b. Construct a residual plot. c. Construct a normal probability plot of the residuals. E Click the icon to view the table of normal scores. a. The standard error of the estimate is (Round to three decimal places as needed.)

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