Need help with screenshots 1 through 9! All information needed are in screenshots below. However, if you think you need anything else, do not hesitate to let me know! Also, please number your solutions (as I have). THANK YOU!

Complete park (alihrough (h) for the data below. x B 7 13 (a) By hand. drew a scatter diagram lreating x as the explanatory variable and y as the response variable. Choose the correct scatter diagram below. a! a. y :A. 20 (12) Find the equation of the line containing the points (2.3) and (7,13). y=2x+[1) (Type integers or simplied fractions.) (0) Graph the line found in part (b) on the scatter diagram. Choose the correct graph below. .'A. y 1 D (d) By hand. determine the least-squares regression line. y: x+ Q 0 (Round to three decimal planes as needed.) Help Me Solve This View an Example We. y 20 Get More Help A Clear All Check Answer 2 Complete parts (a) through (h) for the data below. 20 30 40 50 60 100 95 90 82 70 (a) By hand, draw a scatter diagram treating x as the explanatory variable and y as the response variable. Choose the correct scatter diagram below. OA B. O c. 70- 70 13 100- 107 100 70 X 10 70 (b) Find the equation of the line containing the points (30,95) and (60,70). 5 y= - 6 X+ ( 120 ) (Type integers or simplified fractions.) (c) Graph the line found in part (b) on the scatter diagram. Choose the correct graph below. O A. OB &C. OD 70- Ay My 100- 100- 100 70 70 X 10 70 (d) By hand, determine the least-squares regression line. y =x+(0 (Round to three decimal places as needed.) Help Me Solve This View an Example Get More Help - Clear All Check Answer3 Is there a relation between the age dilterence between husband/wives and the percent of a country that is literate? Researchers found the least-squares regression between age difference (husband age minus wile age), y. and literacy rate (percent of the population that is literate). x, is y= - 0.0597x + 6.5. The model applied for 16 s x 5100. Complete parts (a) through (e) below. (a) Interpret the slope. Select the correct choice below and ll in the answer box to complete your choice For every unit increase in literacy rate. the age dilterence falls by 013597 units. on average. (Type an integer cr decimal. Do not round.) (b) Does it make sense to interpret the y-intercept? Explain. Choose the correct answer below. A. Yesit makes sense to interpret the y-intercept because an x-value of 0 is within the realm of possibilities. t" B. Noit does not make sense to interpret the y-interoept because an x-value of 0 is outside the scope of the model. C. Noit does not make sense to interpret the yintercept because a yvalue of 0 is impossible. D. Noit does not make sense to interpret the yinlercept because a y-value of O is outside the scope of the model. E. Noit does not make sense to interpret the yintercept because an xvalue of 0 is impossible. to) Predict the age dilference between husband/wile in a country where the literacy rate is 33 percent. 4.5 years (Round to one decimal place as needed.) (d) Would it make sense to use this model to predict the age dierence between husband/wife in a country where the literacy rate is 8%? A, Yesit makes sense because an x-value of B is within the realm of possibilities and within the scope of the model. B. Nott does not make sense because a y-value at 8 is outside the scope ot the model. 3 C. Noit does not make sense because an xvalue of 8 is outside the scope of the model, D. Yesit makes sense because a y-value of 8 is within the realm of possibilities and within the scope of the modelt (e) The literacy rate in a country is 98% and the age dilference between husbands and wives is 2 years. Is this age difference above or below the average age dilterence among all countries whose literacy rate is 98%? Select the correct choice below and ll in the answer box to complete your choice. (Round to one decimal place as needed.) @ A- Belowthe average age ditterence among all countries whose literacy rate is 98% is years. 0 a. Abovethe average age difference among all countries whose literacy rate is 98% is years. \\ Help Me Solve This View an Example Get More Help A Clear All 4 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 Well-Being Index Score, y 5 20 30 35 60 72 105 91 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 A Clear All 5 One of the biggest factors in determining the value of a home is the square footage. The accompanying 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. Click the icon to view the housing data. (a) Which variable is the explanatory variable? Square Footage Selling Price X Data Table (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. O B. C. Square Footage, x Selling Price ($000s), y Ay 4500- 4500- 700- 2239 385.6 3169 373.4 1112 187.4 2050 349.7 3188 632.8 1000- 1000- 150- 150 700 1000 4500 1000 4500 2892 389.3 4141 631.8 (c) Determine the linear correlation coefficient between square footage and asking price. 2166 369.9 2621 426.9 r= 1778 309.1 (Round to three decimal places as needed.) 1790 271 .6 3763 582.3 Print Done Help Me Solve This View an Example Get More Help - Clear All Check Answer6 Because cclas 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. E 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. 9= x+( ) - (Round to four decimal places as needed.) Colas per Week and Bone DenSIty colas perweek Bone Mineral Density (glcm3) Q1 0.906 0.073 0.885 0.075 0.862 0.845 0.020 0.829 0.703 0.733 0.784 0.760 0.735 0.744 0.741 c 1 1 1 2 2 3 3 5 5 5 6 7 7 7 Help Me Solve This View an Example Get More Help A 7 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- O sugar Sugar, y 17 15 16 17 13 0+ Table of Critical Values of the Correlation Coefficient 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? 0.997 .950 A. There appears to be a strong nonlinear relationship between calories and sugar content. 0.878 B. There appears to be a strong linear relationship between calories and sugar content. 0.811 0.754 C. There appears to be little or no relationship between calories and sugar content. 8 0.707 (b) Determine the correlation coefficient between calories and sugar content. 9 .666 10 0.632 The correlation coefficient is. 11 0.602 (Type an integer or decimal rounded to three decimal places as needed.) 12 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 Print Done Help Me Solve This View an Example Get More Help - Clear All Check Answer8 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 Scatter plot of eruption data. X O B. Linear, negative association Residual plot of eruption data. X 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. 9 0.02- 1.80 0.00- Length 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. 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- 11 11.4 11.8 12.2 12.6 11.4 11.8 12.2 12.6 The least squares regression line explains |% of the variation in 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 Answer9 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). a Click the icon to view the data table. (a) Draw a scatter diagram of the data. Choose the correct graph below. A. a. Data Table A Q A Q g. .'_ E Q \"9' :_-_ 9' 1: l: m: Hours Hours Hours w l3 g . i3" Age" Studying,y Age" Studying,y A99" Studying,y w 3%: 18 4.2 19 5.1 22 2.1 0-1.,> 18 1.1 19 2.3 22 3.3 18 A2: 35 18 4.6 20 1.7 24 5.3 g 18 3.1 20 6.2 25 4.5 Deuermine any potential inuential observations. Choose the correct answer below. 18 5'3 20 3'2 25 3'9 18 3.2 20 5.3 26 5.2 A. (13.1.1) 19 2,3 21 2,5 26 4.2 v 19 2.3 21 6.3 35 3.3 ~ 5, (35.3.3) 19 3.2 21 4.2 c. (20,62) and (21.6.3) D. There are no potential inuential observations. (b) Find the least-squares regression line using all the data points. Choose the correct answer below. )7 = x + I (Round the splcpe to three decimal places as needed. Round the intercept to two decimal places as needed.) Help Me Solve This View an Example Get More Help A Clear All