Age Browsing Time (min/wk) 22 492 50 186 44 181 33 384 55 119 60 120 38 276 22 479 21 510 45 252 52 126 33 360 19 570 17 587 21 498 Several studies have found that the frequency with which shoppers browse Internet retailers is related to the frequency with which they actually purchase products and/or services online. The data in the accompanying table show the age of respondents and their answer to the question "how many minutes do you browse online retailers per week?" Complete parts a through d. Choose the correct graph below. O C. O D. O A. O B. 600- 609- 600 600- Br. Ti. (min/wk) 300- Br. Ti. (min/wk) E 300- E 300- 300- Br. Ti. (min/w 15 40 40 65 15 40 65 40 65 Age 15 Age Age Age b) Do you think a linear model is appropriate? Explain. A. The scatterplot does not show any discernable trend or pattern, so a linear regression is definitely not appropriate. B. The scatterplot appears to have slight curvature at one end of the age distribution, so a linear regression may not be completely appropriate. C. The scatterplot shows a curved line, so a linear regression is not appropriate unless the variables are transformed to make the scatterplot more linear. D. The scatterplot shows points in a tightly clustered single stream that form a straight line, so a linear regression is definitely appropriate. c) Find the equation of the regression line. Browsing Time =+( )Age (Round the constant to one decimal place as needed. Round the Age coefficient to three decimal places as needed.) d) Check the residuals to see if the conditions for inference are met an The equal spread condition satisfied because the scatterplot of the residuals against the predicted values shows . The nearly normal condition satisfied because the Normal probability plot I extreme outliers. approximately straight line. (This is also the case because a histogram of the residuals unimodal and symmetric.) The outlier condition satisfied because the Normal probability plot