NUMBER OF FACTORS LENGTH OF STAY NUMBER OF FACTORS LENGTH OF STAY y, days y, days 231 354 11 323 7 142 7 113 8 E6286 208 341 10 162 4 201 117 4 158 11 159 243 6. 169 9. 156 6. 55 6. 184 77 3 115 4 a Indiye 6. 103 4 202 6. 147 206 230 6. 360 6. 78 84 525 9. 331 121 7 302 248 5 60 233 8 110 260 4 131 224 7 364 472 12 180 220 8 134 6. 383 6. 401 301 9. 155 262 7 338 8. Source: Bayonet Point Hospital, Coronary Care Unit. a. Construct a scattergram of the data. b. Find the least squares line for the data and plot it on your scattergram. c. Define B, in the context of this problem. d. Test the hypothesis that the number of factors per patient (x) contributes no information for the prediction of the patient's length of stay (y) when a linear model is used (use a = .05). Draw the appropriate conclusions. e. Find a 90% confidence interval for B1. Interpret your results. 39722547 o54

Digits 6-4D Digits 6-4D C D Sophia Topete - Ro... G Natural gas format... Classwork for 4 - C... Part 1 of 2 X savvasrealize.com/assignments/viewer/classes/055d24c2dd434c719adcb60cb27bcf77/assignments/eb5443274cb54359bb34a1be876e0c30/ Pedro had base hits. Savvas Realize Help me solve this View an example Together, teammates Pedro and Ricky got 2675 base hits last season. Pedro had 283 more hits than Ricky. How many hits did each player have? + Get more help - ... Clear all

Player RBI HR AVG Salary (in millions) Prince Fielder 44 8 0.212 18.000 Jean Segura 64 20 0.320 2.600 Logan Forsythe 52 20 0.264 2.750 Chris Iannetta 24 7 0.210 4.550 Adam Jones 83 29 0.265 16.000 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Hanley Ramirez 111 30 0.286 22.750 David Ortiz 127 38 0.315 16.000 Matt Wieters 66 17 0.243 15.800 Colby Rasmus 54 15 0.206 15.800 Rajai Davis 48 12 0.249 5.950 Mike Trout 100 29 0.315 16.083 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Adrian Beltre 104 32 0.300 18.000 Matt Holliday 62 20 0.246 17.000 Hunter Pence 57 13 0.289 18.500 Brian McCann 58 20 0.242 17.000 J.D. Martinez 68 22 0.307 6.750 Ryan Braun 91 31 0.305 20.000 Mark Teixeira 44 15 0.204 23.125 Victor Martinez 86 27 0.289 18.000 Justin Upton 87 31 0.246 22.125 Carlos Gonzalez 100 25 0.298 17.454   Determine the correlation coefficient.  (Round your answer to 4 decimal places.) Find the…

The annual salaries (in dollars) of 14 randomly chosen fire fighters are listed. At x = 0.05, is there enough evidence to support the claim that the standard deviation of the annual salaries is different from $5350? Assume the population is normally distributed. Complete parts (a) through (e) below. ¹ Click the icon to view the Chi-Square Distribution Table. (a) Write the claim mathematically and identify H, and Ha O A. Ho: 5350; Ha: #5350 (Claim) OB. Ho: os 5350 (Claim); H₂: >5350 OC. Ho: 25350; H₂: <5350 (Claim) O D. Ho: <5350 (Claim); H₂: 25350 (b) Find the critical value(s). x = [ (Round to three decimal places as needed. Use a comma to separate answers as needed.) Identify the rejection region(s). Choose the correct graph below. O A. Q O B. 50,722 40,926 52,398 46,512 41,768 40,236 51,039 D 52,101 43,822 34,929 35,036 28,197 32,715 37,949 (c) Find the standardized test statistic for the ²-test. x²2²=[ (Round to three decimal places as needed.) (d) Decide whether to reject or fail…

Mid-career Salary (in thousands of dollars) (y) Yearly Tuition (in thousands of dollars) (x) 21 87 21 72 33 92 19 83 17 68 19 98 13 57 31 102 14 58 26 101 11 86 15 45 x: 21, 21, 33, 19, 17, 19, 13, 31, 14, 26, 11, 15 y: 87, 72, 92, 83, 68, 98, 57, 102, 58, 101, 86, 45 1. Find the best fit line for the data. y = + 2. Graph the scatter plot of the data together with the best fit line using R. (This portion of the problem is not graded.) 3. Predict the mid-career salary of a student attending a college with an annual tuition of $33 thousand. %24 thousand

End of month S&P 500 End of month S&P 500 End of month S&P 500 End of month S&P 500 September-77 96.53 April-80 106.29 November-82 138.53 July-85 191.85 October-77 92.34 May-80 111.24 December-82 140.64 August-85 190.92 November-77 94.83 June-80 114.24 January-83 145.30 September-85 188.63 December-77 95.10 July-80 121.67 February-83 148.06 October-85 182.08 January-78 89.25 August-80 122.38 March-83 152.96 November-85 189.82 February-78 87.04 September-80 125.46 April-83 164.43 December-85 202.17 March-78 89.21 October-80 127.47 May-83 162.39 January-86 211.28 April-78 96.83 November-80 140.52 June-83 167.64 February-86 226.92 May-78 97.24 December-80 135.76 July-83 162.56 March-86 238.90 June-78 95.53 January-81 129.55 August-83 164.40 April-86 235.52 July-78 100.68 February-81 131.27 September-83 166.07 May-86 247.35 August-78 103.29 March-81 136.00 October-83 163.55 June-86 250.84 September-78 102.54 April-81 132.81 November-83 166.40…

Question 19 Lucille, Rocio, and Cristina are all taking College Mathematics but from different professors. They all recently took a statistics exam and the exam scores were normally distributed in each of their classes. • Lucille's class had an average grade of 77 and the standard deviation was 4. Lucille earned 84.2 on the exam. Rocio's class had an average grade of 85 and the standard deviation was 3. Rocio earned 85.6 on the exam. Cristina's class had an average grade of 85 and the standard deviation was 5. Cristina earned 91.5 on the exam. Since some professors give harder exams than others, these students decided to use statistics to figure out who did the best on their exam. Use the Cumulative Z-Score Table to answer the following questions. Write your answers as a percent with two decimal places. Hint • Lucille's score places her above % of her class. % of her class. Rocio's score places her above % of her class. • Cristina's score places her above Which person has the highest…