Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 401 56.11 306 54.66 688 88.68 751 103.61 667 83.37 396 55.56 359 53.49 692 81.12 935 109.85 A student calculates a linear model yy = xx + . (Please show your answers to at least 4 decimal places) Use the model to estimate the cost when number of pages is 899. Cost = $ (Please show your answer to 2 decimal places.)   A good regression calculator can be found at Regression Calculator

Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (x ) Cost(y ) 989 128.68 952 135.24 973 137.76 565 70.8 304 51.48 392 57.04 303 56.36 498 61.76 480 70.6 209 41.08 A student calculates a linear modely = x + . (Please show your answers to two decimal places)Use the model above to estimate the cost when number of pages is 432 Cost = $ (Please show your answer to 2 decimal places.)

Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The data are shown below: Number of Pages (xx) Cost(yy) 491 84.74 740 121.6 771 127.94 478 92.92 253 45.42 492 90.88 398 81.72 303 67.42 505 92.7 A student calculates a linear model using technology (Statistics Calculator or Computer)ˆyy^ =  xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 864.Cost = $ (Use the linear model with yor rounded coefficients and then round your answer to 2 decimal places.)

In baseball, two statistics, the ERA (Earned Run Average) and the WHIP (Walks and Hits per Inning Pitched), are used to measure the quality of pitchers. For both measures, smaller values indicate higher quality. The following computer output gives the results from predicting ERA by using WHIP in a least-squares regression for the 2017 baseball season. Variable DF Estimate SE T Intercept 1 -5.0 0.26 - 19.3 WHIP 1 6.8 0.14 47.4 Which of the following statements is the best interpretation of the value 6.8 shown in the output? ERA is predicted to increase by 6.8 units for each 1 unit increase of WHIP. WHIP is predicted to increase by 6.8 units for each 1 unit increase of ERA. For a pitcher with 0 units of WHIP, the ERA is predicted to be approximately 6.8 units. For a pitcher with 0 units of ERA, the WHIP is predicted to be approximately 6.8 units. Approximately 6.8% of the variability in ERA is due to its linear relationship with WHIP.