This is my new question

A bureau reported the following unemployment rates (3/) associated with the given years of education (x). x = years y = unemployment of education rate 5.0 16.7 7.5 17.2 8.0 15.4 10.0 20.? 12.0 11.7 14.0 8.1 16.0 3.8 For parts (a)-(c) use the regression equation below to estimate the unemployment rates for individuals with the following years of education. (Round your answers to two decimal places.) 3? = 1.24X + 26.22 (a) 12 years 9 = :1 If it is not appropriate to estimate the unemployment rate, clearly state why not. 0 It is appropriate because the xvalue is outside the range of the data set, thus it is extrapolation. C) It is appropriate because the x-value is inside the range of the data set. 0 It is not appropriate because the xvalue is outside of the range of the data set, thus it is extrapolation. Q It is not appropriate because the xvalue is inside of the range of the data set. (b) 15 years i = [:1 If it is not appropriate to estimate the unemployment rate, clearly state why not. Q It is appropriate because the X-value is outside the range of the data set, thus it is extrapolation. Q It is appropriate because the x-value is inside the range of the data set. 0 It is not appropriate because the x-value is outside of the range of the data set, thus it is extrapolation. Q It is not appropriate because the x-value is inside of the range of the data set. (c) 20 years i = [:1 If it is not appropriate to estimate the unemployment rate, clearly state why not. Q It is appropriate because the x-value is outside the range of the data set, thus it is extrapolation. Q It is appropriate because the X-value is inside the range of the data set. C) It is not appropriate because the x~value is outside of the range of the data set, thus it is extrapolation. C) It is not appropriate because the xvalue is inside of the range of the data set. (d) Calculate the prediction error for yOur prediction in part (a). :1 Does this data point lie above or below the regression line, and what does that mean? 0 The data point lies above the regression line. This means the data value is greater than the predicted unemployment rate for individuals with 12 years of education. 0 The data point lies below the regression line. This means the data value is less than the predicted unemployment rate for individuals with 12 years of education