3. Load the Santa Barbara temperature data using the following com- mands stbarb=read.table("berkeley.dat")[,3] Since the data is non-stationary, we consider taking difference of stbarb. Create ACF and PACF plots for the differenced data. Do you have an opinion on possible models based only on these plots?
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![3. Load the Santa Barbara temperature data using the following com-
mands
stbarb=read.table ("berkeley.dat")[,3]
Since the data is non-stationary, we consider taking difference of stbarb.
Create ACF and PACF plots for the differenced data. Do you have an
opinion on possible models based only on these plots?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc1457f0d-b9ec-463d-838e-e66ae4170cbb%2Ff1fc22f4-027b-47e8-a961-5c9a1b590f17%2Fo8xaltr_processed.png&w=3840&q=75)
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- Refer to Figure 29-9 to determine the values in the table. Allowance is equal to the maximum interference. All dimensions are in millimetersSolve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. When nicotine is absorbed by the body, cotinine is produced. A measurement of cotinine in the body is therefore a good indicator of how much a person smokes. Listed below are the reported numbers of cigarettes smoked per day and the measured amounts of nicotine (in ng/ml). Is there a significant correlation at alpha = 0.05? x (cigarettes/day) 60 10 4 15 10 1 20 8 7 10 10 20 y (cotinine) 179 283 75.6 174 209 9.51 350 1.85 43.4 25.1 408 344From 9 observations the following results were obtainedΣXΣX =824, ΣYΣY =750, ΣXYΣXY = 69540, ΣX2ΣX2 =67024, ΣY2ΣY2 =59130. Find i) the product moment correlation co- efficient, ii) and, state the relationship. ii) the regression line equation = Y=aX+bY=aX+b
- Jóhannes plans to examine the salary of a middle manager in a large company. He collects data on salaries and how long they have been employed as middle managers with the aim of creating a model that can predict salaries with work experience. Jóhannes has data from 20 randomly selected middle managers who range from being new to the job to having 12 years of work experience. Jóhannes started by drawing the data and sees that the relationship is linear. He also calculates some light sizes that can be seen below: Convert Average Standard deviation Salary 761041 238473 Job experience 5,65 3,71 He also calculated the correlation coefficient between wages and work experience and obtained a r = 0.82. a) Find an equal regression line for Jóhannes's modelb) What is the explanatory power of the model and what does it tell us?c) How much does a middle manager's salary increase in five years according to the model?d) Use the model to predict the salary of a middle manager with 20 years…6) part 4. Generate a abo plot for the asteroid data.Following is a portion of the regression output for an application relating maintenance expense (dollars per month) to usage (hours per week) for a particular brand of computer terminal. question 12 attached in ss below thanks for elp appreiacted
- Solve the following problems based on the step-by-step procedure of the Non-Parametric Tests. Show complete solutions and answer. Listed below are amounts of strontium-90 (in millibecquerels, or mBq, per gram of calcium) in a simple random sample by baby teeth obtained from Pennsylvania residents and New York residents born after 1979. Use a 0.05 significance level and Wilcoxon rank-sum test to test the claim that the median amount of strontium-90 from Pennsylvania residents is the same as the median from New York residents. Pennsylvania 155 142 149 130 151 163 151 142 156 133 138 161 New York 133 140 142 131 134 129 128 140 140 140 137 143Mars, Inc. states that 16% of all milk chocolate M&M’S® produced are green. A group of students took the following samples from a bowl of 500 mixed up M&M’S®. (see attached) What information do we need in order to answer our question or investigate the claim that 16% of milk chocolate M&M’S® produced by Mars, Inc. are green? How can we use the samples of M&M’S® to obtain this information? What value is at the center of the dot plot constructed by using one sample per group? Is it a coincidence that the value is close to/far from the 16% claimed by Mars, Incorporated? Mars, Inc. claimed that 16% of milk chocolate M&M’S® produced are green. Does the information on the dot plot seem to support this claim? Why or why not?Based on teh attached data, does it appear that magnets reduce backpain?
- I would need some help with finding the best predicted value of y corresponding to the given value of x.Examine the following figure, which displays hypothetical measurements of a sample of individuals from three groups. The horizontal axis represents three groups: A, B, and C. The vertical axis represents measurements from 0.0 to 10.0 with an interval of 2.5. The approximate data from graph are as follows: For group A, majority of measurements lie between 1 to 5 with widest bulge at 2 point 7. For group B, majority of measurements lie between 1 and 6 with the widest bulge at 2 point 5. For group C, majority of measurements lie between 2 point 5 and 7 with the widest bulge at 6 point 5. A) In which of the groups is the frequency distribution of measurements approximately symmetric? B) Which of the frequency distributions show negative skew? C) Which of the frequency distributions show positive skew?You obtained the following raw data when setting up a Biuret standard curve: BSA (mg/ml) Absorbancy 540nm 0 0.158 1 0.210 2 0.260 3 0.305 4 0.360 5 0.410 6 0.455 7 0.510 8 0.530 9 0.550 10 0.554 What would the quality of the line-fit (R2 value) be if you do not exclude experimental outliers? (Give you answer to 4 decimal places)