Which of the following is a multiple linear regression model?
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- Which of the following inequality has a graph and solution as illustrated? O C. 3x+4yz-9 A. 3x+4y<9 B 3x-4ys9 D. 3x+4y2 964 71 71 53 67 67 55 55 58 77 57 56 51 76 68 57 59 49 62 51 50 55 48 52 42 61 57 X2 8 10 6 11 8 7 10 9 10 6 12 9 Fit a multiple linear regression to the data. What is the coefficient of x1? Round-off answer to 3 decimal places. X1A dataset follows a simple regression model. If the y intercept and slope are given as 500 and 250, respectively, predict the value of y if X is 1.
- The 2 possible answers for each member is C or T its asking to choose which all have the same option C or T as shown in the bottom of the second picture so answers would be Member AD = C or Tplease add the vectors on the final answers. ex: Va/b=sqrt(Va/bx^2+Va/by^2)Benefit/ cost ratio is commonly used in economic analysis of government projects which aim at benefiting as many people as possible. Select one: True False
- 15. The table below shows the number of hours ten students spent studying for a test and their scores. Hours Spent Studying (x) | 0 | 1 | 2 4 | 4 | 4 | 6 | 6 | 7 8 Test Scores (y) 35 40 46 65 | 67 70 82 88 82 95 Write the linear regression equation for this data set. Round all values to the nearest hundredth. State the correlation coefficient of this line, to the nearest hundredth. Explain what the correlation coefficient suggests in the context of the problem.Find the probability that a normal random variable X with meanu = 30 and standard deviation o = 6 is at least 40.5. O 0.4006 O None O 0.9599 O 0.0401Kindly use Double Integration Method to solve the problem.
- The following data is representative of that reported in an article on nitrogen emissions, with x = burner area liberation rate (MBtu/hr-ft2) and y = NO emission rate (ppm): x 100 125 125 150 150 200 200 250 250 300 300 350 400 400 y 140 140 170 220 180 330 290 390 440 440 400 590 610 680 (a) Assuming that the simple linear regression model is valid, obtain the least squares estimate of the true regression line. (Round all numerical values to four decimal places.) y = (b) What is the estimate of expected NO emission rate when burner area liberation rate equals 225? (Round your answer to two decimal places.) ppm (c) Estimate the amount by which you expect NO emission rate to change when burner area liberation rate is decreased by 60. (Round your answer to two decimal places.) ppm (d) Would you use the estimated regression line to predict emission rate for a liberation rate of 500? Why or why not? O Yes, the data is perfectly linear, thus lending to accurate predictions. O Yes, this…what are the limitations of the following methods ? Arithmetic Increase Method• Geometric Increase Method• Incremental Increase Method• Decreasing Rate of Growth Method• Simple Graphical Method• Comparative Graphical Method• Ratio Method• Logistic Curve MethodQ3: If The probability of rain falling on any day in November is 20% find the probability of : A: Rain fall on three consecutive days ? * Q3: B: Rain fall in 27 days or more ? * Q3: C: Rain fall in 2 days or more ? * Q3: D: There is no rain at all in this month ? * Q3: E: Rain in any three days ?