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- This is a multipart question 6.) Diesel Dave has modified his massive truck to combat global cooling, and to roll coal on his neighbor Environmentalist Ed. With each blast of diesel exhaust fumes, Diesel Dave releases sulfur dioxide in a giantblack cloud. Every morning as Diesel Dave is leaving home he rolls coal into Environmentalist Ed's yard. Not surprisingly, Environmentalist Ed is diligently collecting data on the air quality in his yard. Suppose Diesel Davereleases sulfur dioxide in a normally distributed manner with a mean of 2800 ppm and a standard deviation of 120 ppm. What is the probability that on a random morning he will release sulfur dioxide greater than 3000ppm? Suppose in order to sue Diesel Dave, Environmentalist Ed needs the daily average level of sulfur dioxide emissions to exceed 3000 ppm. However, he can choose to take his mean measurement over 2, 3, or 15 days. Which number of days would maximize Environmentalist Edís chances of suing Diesel Dave? (Hint: What…Check whether the data in this problem satisfy the Hawkins–Simoncondition.Consider an MA(1) model and suppose we have the observed values Y₁ = 0, Y₂ = −1, and Y3 = 1/3. Find the conditional least squares estimator of 0 and the method of moments estimator of σ².
- The model, y = Bo + B₁×₁ + ß₂×2 + ε, was fitted to a sample of 33 families in order to explain household milk consumption in quarts per week, y, from the weekly income in hundreds of dollars, x₁, and the family size, x₂. The total sum of squares and regression sum of squares were found to be, SST = 162.1 and SSE(R) = 90.6. The least squares estimates of the regression parameters are bo = -0.022, b₁ = 0.051, and b₂ = 1.19. A third independent variable-number of preschool children in the household-was added to the regression model. The sum of squared errors when this augmented model was estimated by least squares was found to be 83.1. Test the null hypothesis that, all other things being equal, the number of preschool children in the household does not affect milk consumption. Use α=0.01. Click here to view page 1 of a table of critical values of F. Click here to view page 2 of a table of critical values of F. ''1' M P2 P3 Find the critical value. The critical value is 7.60⁰. (Round to…Construct a model for the number of cats, y, after x months that make use of the following assumptions: 1. It begins with two cats – one female and one male, both unneutered. 2. Each litter is composed of 4 kittens – 3 males and 1 female. 3. It takes four months before a new generation of cats is born. 4. No cat dies (all are healthy) and no new cats are introduced.c) When an exponential smoothing model is used with a smoothing parameter alpha of 0.80 and an April forecast is 150, what is the forecast on the sales in May. (Hint: F#1=aYt+(1-a)Ft), For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Arial 10pt A V ... Paragraph v2 X, ABC EX 3B HE !!! C !!!
- (a) Use an appropriate linearization to approximate 46 (b) Use the same linearization from part (a) to approximate N50 (c) Which of the above do you think is a better approximation? Explain your reasoning.Josh ran an experiment to test optimum power and time settings for microwave popcorn. His goal was to deliver popcorn with fewer than 11% of the kernels left unpopped, on average. He determined that power 9 at 4 minutes was the best combination. Complete parts a) and b) below. a) He concluded that this popping method achieved the goal of fewer than 11% of the kernels left unpopped. If it really does not work that well, what kind of error did Josh make? Type Il error Type I error b) To be sure that the method was successful, he popped 8 more bags of popcorn (selected at random) at this setting. All were of high quality, with the percentages of unpopped kernels shown below. 12.4, 2.9, 8.6, 8.1, 13.4, 3.2, 2.7, 9.5 O Does this provide evidence that he met his goal of an average of fewer than 11% unpopped kernels? Assume a = 0.05. Choose the correct null and alternative hypotheses. A. Ho μ= 11 HA: µ 11 O F. Ho: µ> 11 HA: H= 11 Е. Но: <11 HẠ: µ= 11 %3D Calculate the test statistic. t=…The model, y = Bo + B₁×1 + ß₂×₂ + ε, was fitted to a sample of 33 families in order to explain household milk consumption in quarts per week, y, from the weekly income in hundreds of dollars, X₁, and the family size, x2. The total sum of squares and regression sum of squares were found to be, SST = 162.1 and SSE(R) = 90.6. The least squares estimates of the regression parameters are bo = -0.022, b₁ = 0.051, and b₂ = 1.19. A third independent variable number of preschool children in the household-was added to the regression model. The sum of squared errors when this augmented model was estimated by least squares was found to be 83.1. Test the null hypothesis that, all other things being equal, the number of preschool children in the household does not affect milk consumption. Use α = 0.01. Click here to view page 1 of a table of critical values of F. Click here to view page 2 of a table of critical values of F. Choose the correct null and alternative hypotheses below. A. Ho: B3 = 0 |…
- Hi. I got the answer to PART D of this question wrong even after asking an expert so please can you give it another go and help me with the solution to PART D of this question. Thank youWhat is the answer for this question? Show your work for everythingQ7 (6 points) Through the model Y = Bo+B₁X1+ ẞ2X2 + ß3X3 + ẞ4X4 + ẞ5 X5 + ẞß6X6 + ɛ. A set of 38 observations on (X1, X2,, X5, Y) is available and backward elimination procedure have been run; see the following table.