\fListed in the table below are annual data for various years. The data are weights {metric tons) of lemons imported from Mexico and US car crash fatality rates per 100,000 population. Complete parts a throL Lemon lm ports 230 265 358 480 530 t Crash fatality rate 15.3 15.6 15.4 15.1 14.9 H. Lennrl'imports'\" _.. Lennrl'imports'\" _.. Lennrl'ir'nports'\" The bestt line shows E fit to the points in the scatterplot. b. Briey discuss the strength of the correlation. Compute r and r2. Based on the value for r2, identify how much of the variation in the variable can be accounted tor by the best-t line. r= (Round to two decimal places as needed.) Compute r2. r2 = (Round to two decimal places as needed.) Based on r2 '11; of the variation can be accounted for by the best t line. (Round to the nearest whole number as needed.) c. lden ify any outliers on the diagram and discuss their effeds on the strength of the correlation and on the bestt line. Choose the coned answer below. 0 A. A pmsible outlier is (530,149). Its net elled on the strength of the correlation and on the bestt line is large. 0 B. A pmsible outlier is (230,158). Its net etted on the strength of the correlation and on the bestt line is large. 0 C. Apmsible outlier is (530,143). Its net elled on the strength of the correlation and on the bestt line is small. 0 D. There are no outliers. O E. Apossible outlier is (230,158). Its net elled on the strength of the correlation and on the bestt line is small. d. Does the best-t line appear to provide reasonably reliable predictions within the range of the given data? Explain. O A. Predictions based on the bestfit line could be reliable because the value of r2 is sufciently large. However, predictions should be made with caution because there are few data points. 0 B. Predictions based on the bestif'rt line could not be reliable because the value of r2 means there is little correlation. O C. Predictions based on the bestfit line could not be reliable because there are not enough data points to make a predidion. O D, Predictions based on the bestfit line could not be reliable because the data points do not all fall on the bestft line