Could you please help me solve the attached questions? or at least some of them . Thanks
Question 10 of 17 I 3 E View Policies Current Attempt in Progress The following regression model was tted to sample data with 12 observations: 33 = 30 + 4.50x. What is the predicted value of y for a given value of x = 6? Q. 4.50 0. 36 O. 43.40 0. 57.00 (N. 30 Save for Later Attempts: 0 Of2 used Submit 1' Question 11 of17 /3 E View Policies Current Attempt in Progress For a least squares regression line, the sum of the residuals is 0 always zero 0 always negative 0 always positive 0 sometimes positive and sometimes negative Save for Later Attempts: 0 of2 used 5.33.th A . Question 12 of17 _;3 ;: View Policies Current Attempt in Progress If the standard error of the estimate for a regression model tted to a large number of paired observations is 1.75. approximately 95% of the residuals would lie within O -0.95 and +0.95 0 -0.68 and +0.68 0 '350 and +3.50 0 -1.75 and +1.75 0 -O.97 and +0.97 Save for Later Attempts: 0 Of2 used Submit 1' Question 13 of 17 Width (P.I) Save for Later Attempts: 0 of 2 used Submit AnswerQuestion 15 of 17 - I 3 E View Policies Current Attempt in Progress In the regression equation. y = 2.164 + 1.3657x, n = 6, the mean of x is 8.667, 5550' = 89.333 and Se = 3.44. A 95% condence interval for the average ofy when x = 8 is Q (10.151.15.86) 0 (9.13.1105) Q (3.56. 22.62) 012.75.23.43) 0 (1109,1409) Save for Later Attempts: 0 of 2 used Submit Question 16 of 17 - I 3 E View Policies Current Attempt in Progress A manager wishes to predict the annual cost [3,!) of an automobile based on the number of miles (x) driven. The following model was developed: 3! = 2,000 + 0.42x. If a car is driven 30,000 miles, the predicted cost is Q 10,400 Q 14,600 Q 32,000 Q 10,250 Q 2000 Save for Later Attempts: 0 of 2 used Submit Question 17 of 17 - I 3 E View Policies Current Attempt in Progress A manager wants to predict the cost (3;) of travel for salespeople based on the number of days (x) spent on each sales trip. The following model has been developed: 3! = $400 + 120x. If a trip took 4 days, the predicted cost of the trip is Q 330 Q 2030 Q 524 Q 430 Q 1030 Save for Later Attempts: 0 of 2 used Submit Question 7 of 17 - 13 View Policies Current Attempt in Progress If the relationship between y and x is given by the equation y = 1.57 - 0.0407 x, the slope coefficient 0.0407 means this: O for every unit increase in x, y decreases by 1.5293 O for every unit increase in x, y increases by 0.0407 O for every unit increase in x, y decreases by 0.0407 O for every unit increase in x, y increases by 1.5293 Save for Later Attempts: 0 of 2 used Submit AnswerQuestion 8 of 17 View Policies Current Attempt in Progress Least squares regression line is one that Q results in the smallest sum of errors squared If) results in zero sum of errors squared Q maximizes the sum of errors squared 0 passes through 95% the data points Save for Later Attempts: 0 of 2 used -I3 Submit J" 1 z : Question 9 of 17 - /4 View Policies Current Attempt in Progress People in the aerospace industry believe the cost of a space project is a function of the mass of the major object being sent into space. Use the following data to develop a regression model to predict the cost of a space project by the mass of the space object. Determine r and Se. Weight (tons) Cost ($ millions) 1.897 $ 53.6 3.019 184.7 0.453 6.4 0.986 23.5 1.058 33.9 2.100 110.4 2.398 104.6 *(Do not round the intermediate values. Round your answers to 4 decimal places.) **(Round the intermediate values to 4 decimal places. Round your answer to 3 decimal places.) y = + X 12 = S.= Save for Later Attempts: 0 of 2 used Submit
