0 Question 1 8 0H pt '0 3 3 9'9 G) Details ANOVA is a statistical procedure that compares two or more treatment conditions for differences in variance. {:1- True '3..33' False 0 Question 2 8 DH pt '0 3 Z 99 (3' Details The following data represent the results from an independent-measu res experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C F-ratio = I I p-value = I I Conclusion: {:21- There is a significant difference between treatments {:21- These data do not provide evidence of a difference between the treatments The results obtained above were primarily due to the mean for the third treatment being noticeably different from the other two sample means. For the following data. the scores are the same as above except that the difference between treatments was reduced by moving the third treatment closer to the other two samples. In particular, 3 points have been subtracted from each score in the third sample. Before you begin the calculation. predict how the changes in the data should influence the outcome of the analysis. That is. how will the F-ratio for these data compare with the F-ratio from above? Treatment A Treatment B Treatment C F-ratio = I I p-value = I I Conclusion: '33:? There is a significant difference between treatments Ci- These data do not provide evidence of a difference between the treatments Practice writing a full conclusion: . Question 14 0/1 pt 0 3 99 0 Details Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and } the high temperature. Based on the data shown below, calculate the regression line (each value to at least two decimal places). + X y 27.29 4 26.12 5 28.65 6 32.08 7 32.01 8 34.54 9 36.17 10 37.7 Submit QuestionQuestion 16 0/1 pt 0 3 99 0 Details Joel is investigating how long his phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). His data is displayed in the table and graph below. Brightness Level (x) 23 31 32 39 58 61 70 80 Hours (y) 5.3 6.2 5.4 4.9 2.7 4.1 3.2 2.6 9 - 8 Hours 10 20 30 40 50 60 70 80 90 100 11 Brightness Level a) Find the equation for the line of best fit. Keep at least 4 decimals for each parameter in the equation. b) Interpret the slope in context. O Joel should expect -0.0589 hours per brightness level. O Joel should expect -0.0589 brightness level per hour. c) What does the equation predict for the number of hours the phone will last at a brightness level of 31? hours d) What is the residual for the point (31,6.2)? hours Question Help: Video Submit QuestionQuestion 1 0.75/1 pt O 3 95 0 Details Match each scatterplot shown below with one of the four specified correlation coefficients. O O a. 0.59 b. -0.89 OO c. 0.90 - VI d. -0.09 O O - OO OO 8 O OO OO O - V O O O O Q OO - V O O . a0 Question 2 E 0\" pt '0 3 8 99 G) Details Match each scatterplot shown below with one of the four specified correlation coefficients. 0 _ a. 0.36 .035 c. -0.12 .g. . . d.-U.83 O a' . Question 3 0/1 pt 0 3 99 0 Details The following data includes the year, make, model, mileage (in thousands of miles) and asking price (in US dollars) for each of 13 used Honda Odyssey minivans. The data was collected from the Web site of the Seattle P-/ on April 25, 2005. year make model mileage price 2004 Honda Odyssey EXL 20 26900 2004 Honda Odyssey EX 21 23000 2002 Honda Odyssey 33 17500 2002 Honda Odyssey 41 18999 2001 Honda Odyssey EX 43 17200 2001 Honda Odyssey EX 67 18995 2000 Honda Odyssey LX 46 13900 2000 Honda Odyssey EX 72 15250 2000 Honda Odyssey EX 82 13200 2000 Honda Odyssey 99 11000 1999 Honda Odyssey 71 13900 1998 Honda Odyssey 85 8350 1995 Honda Odyssey EX 100 5800 Compute the correlation between mileage and price for these minivans. (Assume the correlation conditions have been satisfied and round your answer to the nearest 0.001.) Submit