6:18 all 56 E X Question 1 v & 0/1pt O3 @ Details Score on last try: O of 1 pts. See Details for more. > Next question You can retry this question below Run a regression analysis on the following bivariate set of data with y as the response variable. x| v ] e8| 5| Verify that the correlation is significant at an @ = 0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 14.4 on the response variable. What is the predicted explanatory value? X= (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:18 all 56 E Score: 3/19 8/19 answered Save progress Done Vo @ X Question 2 v Mo0/1pt O3 @ Details Score on last try: O of 1 pts. See Details for more. > Next question You can retry this question below You run a regression analysis on a bivariate set of data ( n = 102). You obtain the regression equation y = 1.908z + 49.186 with a correlation coefficient of r = 0.267 (which is significant at & = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 160 on the response variable. What is the predicted explanatory value? X= (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:18 all 56 E Score: 3/19 8/19 answered Save progress Done '\\/ @ @ Question 3 v & 0/1 pt 4 @O Details You run a regression analysis on a bivariate set of data ( n = 82). You obtain the regression equation y=4.278x 4 0.981 with a correlation coefficient of r = 0.817 (which is significant at & = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 60 on the response variable. What is the predicted explanatory value? X= (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:18 all 56 E @ Question 4 v & 0/1pt O 4 @ Details Based on the data shown below, calculate the regression line (each value to at least two decimal places) 5 [ 1865 6 [ 20.68 o [ 2274 o 2497 Submit Question @& myopenmath.com 6:18 all 56 E & o/1pt O3 @ Details Score on last try: 0 of 1 pts. See Details for more. > Next question You can retry this question below Run a regression analysis on the following bivariate set of data with y as the response variable. s 3] Verify that the correlation is significant at an = 0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 30.3 on the response variable. What is the predicted explanatory value? (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:18 al 56 E Save progress Done Yo a@ X Question 9 v & 0/1pt 3 @ Details Score on last try: 0 of 1 pts. See Details for more. > Next question You can retry this question below Based on the data shown below, calculate the regression line (each value to at least two decimal places) y=[11.506 X|x +|0.590 X 16 ] 55.06 Submit Question AA & myopenmath.com 6:18 al 56 E Save progress Done Vie@ : @ Question 10 v & 0/1 pt O 4 O Details Based on the data shown below, calculate the regression line (each value to two decimal places) T8 ] 156 Question Help: [] Video Submit Question @& myopenmath.com 6:18 3 Save progress Done VU CO . . X Question 11 0/1 pt 9 3 0 Details Score on last try: 0 of 1 pts. See Details for more. > Next question You can retry this question below Run a regression analysis on the following bivariate set of data with y as the response variable. X y 18.8 61.1 37.4 60.4 34.9 65.9 26.5 68.1 23.9 62.7 12.9 71.4 44.9 49.4 31.7 58.3 41 56.6 42.3 49 54.6 49.5 Verify that the correlation is significant at an a = 0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 52.6 on the response variable. What is the predicted explanatory value? X = 66.9 X (Report answer accurate to one decimal place.) Submit Question AA myopenmath.com C6:18 al 56 E Save progress Done Via@ @ Question 12 v & 0/1pt O 4 O Details You run a regression analysis on a bivariate set of data ( n = 12). Withz = 49.2 and j = 77.4, you obtain the regression equation y = 2.146x 28.183 with a correlation coefficient of = 0.085. You want to predict what value (on average) for the response variable will be obtained from a value of x = 190 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:19 al 56 Save progress Done Via@ @ Question 13 v & 0/1pt O 4 O Details The line of best fit through a set of data is y=0.326 + 2.014z According to this equation, what is the predicted value of the dependent variable when the independent variable has value 80? - |rendworceaml place. Submit Question @& myopenmath.com 6:19 al 56 Save progress Done Via@ @ Question 14 v & 0/1pt O 4 O Details A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.019 b=23.032 r2=0.416025 r=-0.645 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place) @& myopenmath.com 6:19 al 56 E Save progress Done Via@ @ Question 15 v & 0/1pt O 4 O Details You run a regression analysis on a bivariate set of data ( n = 33). Withz = 42.7 and j = 72.2, you obtain the regression equation y = 0.883z + 34.496 with a correlation coefficient of = 0.99. You want to predict what value (on average) for the response variable will be obtained from a value of x = 150 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:19 al 56 Save progress Done Via@ @ Question 16 v & 0/1pt O 4 O Details Based on the data shown below, calculate the regression line (each value to two decimal places) | 4] 115 ] | 5] 9.65 | | 6] 105 | | 8| 11.7 | 9 10,05 13 [ 995 Question Help: [J Video Submit Question @& myopenmath.com 6:19 al 56 E Save progress Done Via@ @ Question 17 v & 0/1pt O 4 O Details Based on the data shown below, calculate the regression line (each value to at least two decimal places) Submit Question @& myopenmath.com 6:19 al 56 E Save progress Done Via@ @ Question 18 v & 0/1pt O 4 O Details You run a regression analysis on a bivariate set of data ( n = 113). You obtain the regression equation y = 1.645z 31.608 with a correlation coefficient of = 0.749 (which is significant at & = 0.01). You want to predict what value (on average) for the explanatory variable will give you a value of 110 on the response variable. What is the predicted explanatory value? X= (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com 6:19 al 56 Score: 3/19 8/19 answered Save progress Done Vo @ @ Question 19 v & 0/1 pt O 4 @ Details You run a regression analysis on a bivariate set of data ( n = 78). With 7 = 53.3 and i = 53.4, you obtain the regression equation y = 4.136x + 273.849 with a correlation coefficient of r = 0.098. You want to predict what value (on average) for the response variable will be obtained from a value of x = 190 as the explanatory variable. What is the predicted response value? (Report answer accurate to one decimal place.) Submit Question @& myopenmath.com