Need help with screenshots 3 through 11. Note: all screenshots include ONLY one part! No multiple parts. Thus, it should be relatively easy on you. if you need any more information, do not hesitate to let me know. Also, please number your solutions (as I have)! THANK YOU!!!

3 The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x 5 20 30 35 60 72 105 Well-Being Index Score, y 69.2 67.9 67.0 66.8 65.4 65.4 62.9 . . . . . (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y = x +( ) (Round to three decimal places as needed.) Help Me Solve This View an Example Get More Help - Clear All Check AnswerOne of the biggest factors in determining the Value of a home is the square footage. The aooompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. a Click the icon to view the housing data. (a) Which variable is the explanatory variable? '9' Square Footage Selling Prioe (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. . A. a ' D. '\\ 450 450 Q, Q /"' \\ 4'4 100 100 150 700 1000 4500 1000 4500 (1:) Determine the linear correlation welcient between square footage and asking price. r= Data Table (Round to three decimal places as needed.) Square Footage, )1 Selling Price (3000!), y 91 2239 385.6 3169 373.4 1112 137.4 2050 349.7 3188 632.6 2892 389.3 4141 631.8 2166 369.9 2621 426.9 1773 309.1 1790 271.6 Help Me Solve This View an Example Get More Help A 3763 652.3 All 5 Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid. researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral density for a sample of 15 women. Complete parts (a) through (f) below. a Click the icon to view the women's data. (a) Find the least-squares regression line treating cola consumption per week as the explanatory variable. Q: x+( ) (Round to four decimal places as needed.) Help Me Solve This View an Exa Colas per Week and Bone Density colas per week 0 Bone Mineral Density (glom') '21 0.906 0.873 0.585 0.575 0.832 0.845 0.320 0.829 0.783 0.788 0.784 0.760 0.735 0.744 0.741 Clear All Check Answer O The following data represent the number of calories per serving and the number of grams of sugar per serving for a random sample of high-fiber cereals. Complete parts (a) through (d) below. Calories, x 210 230 180 160 220 20- sugar Sugar, y 17 15 16 17 13 50 250 calories Click the icon to view the table of critical values of the correlation coefficient. (a) A scatter diagram of the data is shown. What type of relation appears to exist between calories and sugar content? O A. There appears to be a strong nonlinear relationship between calories and sugar content. Table of Critical Values of the Correlation Coefficient - X B. There appears to be a strong linear relationship between calories and sugar content. C. There appears to be little or no relationship between calories and sugar content. (b) Determine the correlation coefficient between calories and sugar content. 0.997 The correlation coefficient is. 0.950 (Type an integer or decimal rounded to three decimal places as needed.) 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 Help Me Solve This View an Example Get More Help - Clear All Check Answer7 The following data represent the time between eruptions and the length of eruption for 8 randomly selected geyser eruptions. Complete parts Time, x Length, y Time, x Length, y (a) through (c) below 12.14 1.86 11.69 1.75 Click here to view a scatter plot of the data. 11.71 1.79 12.28 1.87 Click here to view a residual plot of the data. 12.05 1.89 11.59 1.71 12.16 1.91 11.73 1.81 11.31 1.65 . . . . . (a) What type of relation appears to exist between time between eruptions and length of eruption? A. Linear, positive association X X O B. Linear, negative association Scatter plot of eruption data. Residual plot of eruption data. O C. A nonlinear pattern. O D. No association. Time between Eruptions Residuals vs. Time vs. Length of Eruption 0.10- (b) Does the residual plot confirm that the relation between time between eruptions and length of eruption is linear? 2.00- 0.08- 0.06- A. Yes. The plot of the residuals shows a discernible pattern, implying that the explanatory and response variables are linearly related. 1.90 0.04- B. Yes. The plot of the residuals shows no discernible pattern, so a linear model is appropriate. 0.02- 1.80 0.00- O C. No. The plot of the residuals shows that the spread of the residuals is increasing or decreasing, violating the requirements of a linear model. Length 1.70- 0.02- O D. No. The plot of the residuals shows no discernible pattern, implying that the explanatory and response variables are not linearly related -0.04- 1.60- -0.06- (c) The coefficient of determination is found to be 88.4%. Provide an interpretation of this value. -0.08 1.50- 0.10 The least squares regression line explains |% of the variation in 11 11.4 11.8 12.2 12.6 11 11.4 11.8 12.2 12.6 Time Time (Type an integer or a decimal. Do not round.) length of eruption. Print Done Print Done time between eruptions. Help Me Solve This View an Example Get More Help - Clear All Check Answer8 A professor feels that there is a relation between the number of hours a statistics student studies each week and the student's age. She conducts a survey in which 26 statistics students are asked their age and the number of hours they study statistics each week. She obtains the accompanying results. Complete parts (a) through (e). Click the icon to view the data table. (a) Draw a scatter diagram of the data. Choose the correct graph below. OD. O C. B. O A. Study Time Study Time Study Time Study Time 2 36 O-T 18 27 36 18 Age 18 27 36 27 Age Age Age Determine any potential influential observations. Choose the correct answer below. - X Data Table O A. (18,1.1) B. (35,8.3) O C. (20,6.2) and (21,6.3) Hours Hours Hours O D. There are no potential influential observations. Age, X Age, X Studying, y Studying, y Age, X Studying, y (b) Find the least-squares regression line using all the data points. Choose the correct answer below. 18 4.2 19 5.1 22 2.1 18 1.1 2.3 22 3.6 y = [x + (0 18 4.6 20 1.7 24 5.3 (Round the splope to three decimal places as needed. Round the intercept to two decimal places as needed.) 18 3.1 20 6.2 25 4.8 18 5.3 20 3.2 25 3.9 18 3.2 20 5.3 26 5.2 19 2.8 21 2.5 26 4.2 19 2.3 21 6.3 35 8.3 19 3.2 21 4.2 Print Done Check Answer Help Me Solve This View an Example Get More Help -CO Is the width of a tornado related to the amount of distance for which the tornado is on the ground? The accompanying data represent the width (yards) and length (miles) of tornadoes in a particular region for one calendar year. Complete parts (a) through (n) below. Click the icon to view the tornado data. (a) What is the explanatory variable? - X Tornado Data O Length Width Width (yd) Length (mi) Width (yd) Length (mi) Width (yd) Length (mi) (b) Explain why this data should be analyzed as bivariate quantitative data. 50 1.3 1960 16.6 0.1 For each tornado, two quantitative variables are measured: width and length. 660 8.2 30 0.8 100 0.8 220 200 41 190 2.5 (c) Draw a scatter diagram of the data. What type of relation appears to exist between the width and length of a tornado? Choose the correct scatter diagram below. 160 0.6 480 6.5 480 5.8 110 3.4 360 1.3 50 1.2 O B. O C. 230 5.5 560 5.7 30 0.4 60 0 .5 110 1.3 25- 25- 2000 19.3 260 1.4 880 9.1 120 0.4 O 400 2.2 600 11.2 320 0.5 Length Length Length 120 0.9 170 1.5 50 0.1 13 1.8 270 2.9 130 5.1 2000 2000 2000 200 2.1 450 9.9 210 2.8 Width Width Width 100 7.5 230 5.4 220 1.5 33 2.9 290 0.6 590 6.7 There is a positive relationship between the width and length of a tornado. 770 8.8 500 6.9 50 0.6 50 0.1 20 0.8 350 1.3 (d) Determine the correlation coefficient between width and length. 40 0.1 20 1.7 190 0.5 r= 10 0.1 20 0.2 10 0.9 (Round to three decimal places as needed.) 20 0 .1 10 0.1 50 0.2 40 0.5 150 0.9 310 0.9 970 4.4 90 0.3 360 4.1 19 0.5 110 0.7 38 47 1230 19.7 200 1.6 $70 1.5 1400 2.6 760 8.2 370 3.3 30 2.2 30 0.4 10 0.1 50 0.2 50 0.1 20 0 .1 510 7 8 210 0.4 660 10.9 50 0.1 Print Done Clear All Check Answer Help Me Solve This View an Example Get More Help -10 What is the coefficient of determination for Data Set B? The coefficient of determination for Data Set B is %. Full Data Set: (Type an integer or decimal rounded to the nearest tenth as needed.) Data Set A Data Set B Data Set C X X y X y 3.6 8.9 3.1 8.9 2.8 8.9 8.3 15.0 9.4 15.0 8.1 15.0 0.5 4.8 1.2 4.8 3.0 4.8 1.4 6.0 1.0 6.0 8.3 6.0 8.2 14.9 9.0 8.2 14.9 5.9 11.9 5.0 11.9 1.4 11.9 4.3 9.8 3.4 9.8 1.0 9.8 8.3 15.0 7.4 15.0 7.9 15.0 0.3 4.7 0.1 4.7 5.9 4.7 6.8 13.0 7.5 13.0 5.0 13.0 (This is a reading assessment question. Be certain of your answer because you only get one attempt on this question.) Textbook StatCrunch Get More Help Clear All Check Answer11 A probability experiment is conducted in which the sample space of the experiment is S = (4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}, event F = {7, 8, 9, 10, 11}, and event G ={11, 12, 13, 14). Assume that each outcome is equally likely. List the outcomes in F or G. Find P(F or G) by counting the number of outcomes in F or G. Determine P(F or G) using the general addition rule. List the outcomes in F or G. Select the correct choice below and, if necessary, ll in the answer box to complete your choice. '9'A- F or G = {7,8,9,1o,11,12,13,14} (Use a comma to separate answers as needed.) G B. ForG={} Find P(F or G) by counting the number of outcomes in F or G. P(F or G) = (Type an integer or a decimal rounded to three decimal places as needed.) Help Me Solve This View an Example Get More Help A Clear All 12 A probability experiment is conducted in which the sample space of the experiment is S =(4,5,6,7,8,9,10,11,12,13,14,15). Let event E = (7,8,9,10}. Assume each outcome is equally likely. List the outcomes in EC. Find P (E) . List the outcomes in EC. Select the correct choice below and, if necessary, ll in the answer box to complete your choice. '*"A- EC = {4,5,6,11,12,13,14,15} (Use a comma to separate answers as needed.) '43- E=n P (EC) = (Type an integer or a decimal rounded to three decimal places as needed.) Help Me Solve This View an Example Get More Help A Clear All Y Check