C O O O Select an answer v O O oo O O CO CO O Select an answer ~ O ooo Submit Question Question 25 For each scatterplot, what would you expect the slope of the regression line to be? 0/1 pt 9 3 19 @ Details 9M MyOpenMath + G myopenmath.com/assess2/?cid=161303&aid=11475407#/full ..35 giug jKul, Jlyl 5 Download Cisco W... M MyOpenMath Question 25 0/1 pt 9 3 2 19 0 Details For each scatterplot, what would you expect the slope of the regression line to be? Select an answer v C C O OO C Select an answer O O TWmmmw 3 \"us 35);}; 034, lel 6 Download Cisco W... M MyOpenMath 7'77,\" UThe value 33is below the average value for'y when :1: i I0 0 The value 33 is above the average value for y when a: : 10. Submit Question 0 Question 28 B 0/1 pt '0 3 Q 19 (D Details Assume that variables a: and y have a significant correltation, and that the line of best fit has been .4 calculated as g : 2.73: + 1.6. One observation is (4, 8.7). ,/ I} What is the predicted value of y for the value a: : 4?' .____'_"/_./ ; What is the residual for the value as : 4? l i What is the best interpretation for the residual? O The value 4 is below the average value for y when y : 8.7 . O The value 8.7 is above the average value for y when a: : 4 l O The value 8.7 is below the average value for y when m : 4. O The value 8.7 is above the average value for :6 when y : 8.7 Submit Question 5 l l P 20 ClearAll Draw: 0 b) The linear relationship between the two variables is: 0 positive 0 negative Submit Question M MyOpenMath C myopenmath.com/assess2/?cid=161303&aid=11475407#/full ...jS giug jbulj jlil Download Cisco W... M MyOpenMath Question 21 0/1 pt 9 3 = 19 0 Details Annual high temperatures (Celsius) in a certain location have been tracked for several years. Let X represent the number of years after 2000 and Y the high temperature. Based on the data shown below, the linear regression equation was calculated using technology. X y 2 33.84 3 34.06 4 36.78 5 35.6 6 38.82 7 36.34 8 37.86 9 37.38 10 39.9 11 37.02 12 40.54 The equation is y = 33.457 + 0.521x Interpret the slope: For each additional 33.457 years, the annual high temperature will increase by 1 degree on average. For each additional year, the annual high temperature will increase by 0.521 degrees on average. For each additional 0.521 years, the annual high temperature will increase by 1 degree on average. For each additional year, the annual high temperature will increase by 33.457 degrees on average. O ODSelect an answer V 0 Question 26 B 0/1 pt '0 3 z 19 6) Details The linear regression equation for a data set is y : 4.1 + 1.6x. The actual value at a: = 9 is 13. Wlfl~ is the residual value at x=9? residual: l M MyOpenMath X C myopenmath.com/assess2/?cid=161303&aid=11475407#/full ..jS giug jKul Jlul Download Cisco W... M MyOpenMath Match each scatterplot shown below with its regression equation. O O O to Select an answer v O oQ O O O O O O O Select an answer v O O O O O Co Pogo O Tage. Submit Question Question 22 0/1 pt 9 3 19 0 Details Use the equation k = 8.7L + 100.9 to i. find the output k when the input L = - 4.9. Answer: (Round the answer to 2 decimal places) ii. find the input L when the output k = 41.2 . Answer: (Round the answer to 2 decimal places) Submit Question Question 23 0/1 pt 9 3 2 19 @ DetailsM MyOpenMath + - C myopenmath.com/assess2/?cid=161303&aid=11475407#/full ...35 giug jKul, Jlul Download Cisco W... M MyOpenMath Question 29 L0/1 pt 9 3 - 19 9 Details For the scatterplot given, select the most likely value of the sample correlation coefficient r. O 0.936 O -0.290 O 0.059 O 1.000 O -0.862 VO Submit Question 9Your answer should be accurate to at least 2 decimal places. Submit Question 0 Question 6 B 0/1 pt '0 3 3 29 6) Beta Use the limit definition of the derivative to find the instantaneOus rate of change of f(:1:):4m2+6:1:+2at;v:4 ' U 1 Question Help: l3 Video Submit Question ~/ Question 7 1 of 1 pts. See Details for more. Score on last try: MyOpenMath + - C myopenmath.com/assess2/?cid=161303&aid=11475407#/full ...JS giug jkul, jlul Download Cisco W... M MyOpenMath Let Y represent the profit (or loss) for a certain company X years after 1980. Based on the data shown below, a statistician calculates a linear model Y - - 2.11X + 38.15. X y 5 27.7 6 24.9 24.1 8 20.9 9 19.1 10 16.3 11 15.6 12 12.7 13 11.7 14 7.9 15 6.2 Use the model to estimate the profit in 1995 y = Submit Question Question 17 [0/1 pt 9 3 19 @ Details Based on the data shown below, a statistician calculates a linear model y = 1.38x + 20.98. X y 26 7' iiisiom/mu 6 Download Cisco W... M MyOpenMath The linear regression equation for a data set is y : 4.1 + 1.6x. The actual value at a: = 9 is 13. What is the residual value at x=9? residual: [j 0 Question 27 E 0/1 pt '0 3 Z 19 (9 Details Assume that variables x and y have a significant correltation, and that the line of best fit has been I} calculated as 3) = 2.92: + 1.6. One observation is (10, 33). What is the residual for the value as = 10? ' What is the best interpretation for the residual? O The value 33 is below the average value for a: when y = 33 O The value 10 is above the average value for y when y : 33 O The value 33 is below the average value for y when x = 10 O The value 33 is above the average value for y when a: = 10. re L..:.. n. .-_1..'-_ 9 Bul Jlul 5 Download Cisco W... M MyOpenMath Use the model to estimate the y-value when x - 9 y = Submit Question Question 18 0/1 pt 9 3 2 19 0 Details The line of best fit through a set of data is y = - 49.163 + 1.349x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 130? y Round to 1 decimal place. Submit Question Question 19 0/1 pt 9 3 = 19 0 Details Baseball regression line prediction: Suppose the equation for the regression line for the number of runs scored in a season, y, is given by y = - 660 + 6200x, where a is the team's batting average. For a team with a batting average of 0.235, find the expected number of runs scored in a season.Based on the data shown below, a statistician calculates a linear model 3/ = 1383+ 20.98. V life the model to estimate the y-value when m : 9 r'ubmit Question 80/1 pros all regression line prediction: ppo'sa the equation for the regression line for the number of runs scored in a season, y, is given . ' 660 + 62002:, where a: is the team's batting average. or a team with a batting average of 0.235, find the expected number of runs scored in a season. _ Round your answer to the nearest whole number. Submit Question Question 20 Basketball regression line prediction: . . . 4 Suppose the equation for the regression line for the number of games won in a season, y, is given by: ; 105 0.0469: 1 ere a: is number of turnovers by the team in a season. . . 'a team with 1207 turnovers in a season, find the expected number of wms m a season. your answer to the nearest whole number