QUESTION 9 1 points Save Answer Researchers measured skulls from different time periods in an attempt to determine whether interbreeding of cultures occurred. Results are given below (based on data from Ancient Races of the Thebaid, by Thomson and Randall-Maciver, Oxford University Press). Use a 0.05 significance level to test the claim that that the variation of maximal skull breadths in 4000 B.C. is the same as the variation in A.D. 150. Assume that both samples are independent simple random samples from populations having normal distributions. 4000 B.C. (Maximal Skull Breadth): n =30 x =131.37 mm s = 5.13 mm A.D. 150 (Maximal Skull Breadth): n =30 x =136.17 mm s = 5.35 mm Test statistic F = 1.0876, upper critical F - value is between 1.2344 and 1.3562, P -value: 0.0243, reject Ho . O Test statistic F = 1.0876, upper critical F - value is between 2.0923 and 2.1540, P-value: 0.8226, fail to reject H. . O Test statistic F = 4.3158 , upper critical F - value is between 2.978 and 3.129, P-value: 0.0041, reject Ho . O Test statistic F = 2.3751 , upper critical F - value is between 2.478 and 2.695, P-value: 0.0147, fail to reject Ho Test statistic F = 4.3158 , upper critical F - value is between 1.0711 and 1.1342, P-value: 0.4876, fail to reject H..QUESTION 10 1 points Save Answer Listed below are altitudes (thousands of feet) and outside air temperatures (degrees Fahrenheit) recorded during Delta Flight 1053 from New Orleans to Atlanta. Construct a scatterplot, and find the value of the linear correlation coefficient Also find the -value or the critical values of from Table A-6 (page 732) using Is there sufficient evidence to support a claim that there is a linear correlation between altitude and outside air temperature? Altitude 3 10 14 22 28 31 33 Temp 57 37 24 -5 -30 -41 -54 Or= 0.842, critical values: r + 0.707, P - value: 0.007, there is not sufficient evidence to support the claim Or= -0.997, critical values: r = + 0.81 1, P - value: 0/072, there is not sufficient evidence to support the claim Or=0.437, critical values: r = + 0.878, P - value: 0.093, there is not sufficient evidence to support the claim Or= - 0.997, critical values: r = + 0.754, P - value: 0.000, there is sufficient evidence to support the claim Or = 0.437, critical values: / = + 0.754, P - value: 0.002, there is sufficient evidence to support the claimQUESTION 13 Not included in the table below is a diamond with a weight of 1.50 carats. Find the regression equation, letting the first variable be the predictor variable. Find the best predicted price for this diamond by following the prediction procedure summarized in Figure 105 (page 521). Is the result close to the actual price of $16,097? Weight 0.3 0.4 0.5 0.5 1.0 0.7 Price O V = 10800 + 2900x, best predicted value is $1 5,150, the predicted value is close to the actual price of $16,097 510 1151 1343 1410 5669 2277 O V = -2010 + 7180X, best predicted value is $8,760, the predicted value is far from the actual price of $16,097 0 V = 5100 + 2900x, best predicted value is $9,450, the predicted value is close to the actual price of $1 6,097 O 9 = -2010 + 7180X, best predicted value is $15,734, the predicted value is close to the actual price of $1 6,097 O V = 5100 + 2900X, best predicted value is $16,450, the predicted value is close to the actual price of $16,097 1 points Save Answer QUESTION 11 1 points Save Answer Listed below are repair costs (in dollars) for cars crashed at 6 mi/h in full-front crash tests and the same cars crashed at 6 mi/h in full-rear crash tests (based on data from the Insurance Institute for Highway Safety). The cars are the Toyota Camry, Mazda 6, Volvo S40, Saturn Aura, Subaru Legacy, Hyundai Sonata, and Honda Accord. Construct a scatterplot, and find the value of the linear correlation coefficient Also find the -value or the critical values of from Table A-6 (page 732) using Is there sufficient evidence to support a claim that there is a linear correlation between the repair costs from full-front crashes and full-rear crashes? Front 936 978 2252 1032 3911 4312 3469 Rear 1480 1202 802 3191 1122 739 2767 Or = - 0.283, critical values: r = + 0.754, P - value: 0.539. there is not sufficient evidence to support the claim Or = 0.834, critical values: r = + 0.878, P - value: 0.004, there is sufficient evidence to support the claim Or = - 0.283, critical values: r = + 0.878, P - value: 0.0011, there is sufficient evidence to support the claim Or = - 0.166, critical values: r = + 0.811, P - value: 0.28, there is not sufficient evidence to support the claim Or = 0.707, critical values: r = + 0.878, P - value: 0.062, there is not sufficient evidence to support the claimQUESTION 12 1 points Save Answer Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. X 10 8 13 9 11 14 6 4 12 7 5 y 7.46 6.77 12.74 7.11 7.81 8.84 6.08 5.39 8.15 6.42 5.73 O V =-2.72 + 4.10x, the data have a pattern that is not a straight line O D=-2.72 + 4.10x, the regression line fits the points well O V = 3.00 + 0.500x, there is an outlier O D = 12.35 - 3.56x, there is an outlier O V = 3.00 + 0.500x, the data have a pattern that is not a straight line