4.41. Consider the data on snow removalin Exercise 3.20. (a) Comment on anypossible outliers in a scatter plot of theoriginal variables. (b) Determine the powertransformation hat(1), the makes the x,values approximately normal. Construct aQ-Q plot of the transformed observations.(c) Determine the power transformationhat (1) the makes the.x₂ valuesapproximately normal. Construct a Q- Qplot of the transformed observations (d)Determine the power transformation forapproximate bivariate normality using(4-40). \table[[Table 3.2 Snow Data11. [12.5, 13.7,9.0, 24.4, 3.5, 26.1,],[14.Table 3.2 Snow DataXIx2X112.5 13.7 9.014.5 16.56.58.0 17.4 10.59.011.010.023.6 4.57.0x₂24.418.2X1x23.5 26.18.0 14.542.317.522.0 17,532.5 10.518.7 12.06.013.019.58.0 13.215.89.0 32.1 8.515.67.012.36.512.07.011.8 8.0 12.821.810.425.6

Answered: Image /qna-images/answer/14bdeeb3-c96a-4111-9274-93a41d6a1179.jpg

Answered: 4.41. Consider the data on snow removal…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Please answer the following including the conditions that need to be met and how to compute the answer using a graphing calculator. Thank you.
Part A: What is the most likely value of the correlation coefficient of the data in the table? Based on the correlation coefficient, describe the relationship between time and surface area of the lake. [Choose the value of the correlation coefficient from −1, −0.98, −0.5, −0.02.] Part B: What is the value of the slope of the graph of surface area versus time between 15 and 20 days, and what does the slope represent? Part C: Does the data in the table represent correlation or causation? Explain your answer.
In a random sample of sixteen different industries the percentage employment x in STEM (science, technology, engineering, mathematics) and mean annual compensation y(in thousands of dollars) were recorded, with the following results. The scatter diagram showed a linear trend. SSxx = 1303.9 SSy= 1503.0 SSy = 2660.2 Ex = 150 .1 Ey = 915 n= 16 %3D %3D 1sxs 34 36.7 s y s 90.5 Calculate the linear correlation coefficient for percent employment in STEM and annual compensation and enter your answer below accurate to two decimal places.
Which of the slopes matches best with the slope of the data in the scatter plot? would it be m = 3/8?, m = 8/3?, m = - 3/8? or would it be m = - 8/3???
An office supply company services copiers and tracks how many machines are serviced and the length of time (in minutes) for a service call. The data below for 11 clients is below. Sum X = 46 Sum Y= 234 Sum XY = 5797 Sum X2 =1180 Sum Y2 =146608 1) Calculate SSYY, SSXX, SSXY 2) Calculate b0, b1 3) Interpret the estimated slope coefficient.
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Research was conducted to find out the relationships between pro-environmental attitudes and 20 concepts of nature. As expected, the pro-environmental attitudes were related to several of the concepts of nature measured. One of the possible research objectives in this study is to assess the relationship between level of knowledge on nature or the environment (X), and the frequency of engaging in pro-environmental behavior (Y) per month, e.g., recycling and using biodegradable products. The data from your study (from 15 respondents) are as follows: ID Y XY y2 1 7 12 3 7 11 5 8 19 9 7 4 8. 11 9. 2 10 8 16 11 7 12 19 13 7 10 14 7 13 15 3 ТОTAL
Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.
The following table shows the values of the age and the job satisfaction of ice cream shop employees Employee Age Job Satisfaction16 918 920 722 824 426 528 626 524 722 8 d. Sketch a scatterplot of this data by hand (do NOT use/submit any plots created by a program).e. Does there appear to be a linear relationship between the two variables? f. Calculate the slope for this data.
Consider the following data: 4 6 8 12 16 25 Which of the following statements is correct? X Y Select one: a. The slope is -3.24. 9 30 b. The intercept is 3.54. c. When X is 10, then the estimated sales will be 25.83 Od. Y = 3.54-3.24X e. Coefficient of determination is 0.9849. 19 39
As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below. Average taings, mo = e Scatter plot of Sales vs Earnings (IV) (V) (VI) A. (I), (II), and (VI) B. (II), (III), and (V) C. (III), (IV), and (V) D. (II), (IV) and (V) 40 . 50 Average Annual Sales 60 Which THREE of the following assumptions are inferable or discernible from the scatter plot? (1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province. Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated. Whether the assumption of normality of the independent variable and the dependent variable has been met or violated. The absence or presence of outliers in the data set. The direction of the relationship between the independent variable and the dependent variable. The significance of the relationship between the independent variable and the…
2. You need to present data to your boss and an assistant gives you a scatter gram with random points. They do not seem to form a line but r = 0.95. You did not draw the graph or calculate r. You do have the original data in front of you and it is accurate. How would you handle the discrepancy between the scatter gram and value for r?

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