1. A 2D data set S has the following averages and SDs.Average SDX-coordinate1004y-coordinate45020The correlation coefficient is r =0.8. The scatter diagram of the data set S is%3Dfootball-shaped. Let L be the regression line to estimate y from r.a. Find the r.m.s. of the regression line L.b. Estimate the y-coordinate of a point in the data set S whose x-coordinate isx = 108. How likely is this estimate to be off?c. Estimate the y-coordinate of a point in the data set S whose x-coordinate isx = 101. How likely is this estimate to be off?d. Estimate the y-coordinate of a point in the data set S whose x-coordinate isx = 98. How likely is this estimate to be off?%3De. From all the data points in S with r-coordinate r = 108, find the approximatepercentage of these points whose y-coordinate is in the interval [458, 478].f. From all the data points in S with r-coordinate x 108, find the approximatepercentage of these points whose y-coordinate is in the interval [464, 484].108, find the approximateg. From all the data points in S with x-coordinate x =90th percentile.

Note: As per my policy i can answer only three sub parts. kindly repost the remaining sub parts.'…

Answered: 1. A 2D data set S has the following…

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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A departmental store has the following sales for a period of last one year of 8 salesmen, who have different years of education. Years of Education 8 10 10 12 14 16 Annual Sales (Thousand Tk.) 100 120 80 100 80 100 70 130 a. Determine the correlation coefficient r between the two variables. Answer rounded to at least 4 decimal places. b. Determine the slope coefficient B1 for the regression of annual sales on years of education. Answer rounded to at least 4 decimal places. c. Determine the y-intercept Bo for the regression of annual sales on years of education. Answer rounded to at least 4 decimal places. d. What will be the annual sales when the years of education is 11 (years)? Answer rounded to at least 4 decimal places. Thousand Tk.
ANSWER D ONLY
Use the data in the table, which shows the average annual salaries (both in thousands of dollars) for public school principals and teachers in the U.S. for 11 years. Apply what you have learned in the previous tab to complete this graded lab questions. 1. Repeat the steps from tab #1 using this data to construct a scatter plot graph and calculate the correlation coefficient R. (Recall the corelation coefficient is R and not R Teachers y Principalsx 77.8 43.7 78.4 43.8 80.8 45.0 R= 80.5 45.6, 2. Does the R value represent a positive, negative or no correlation between the salaries ol the teachers and principals? As teacher salaries increase, what happens to prinicipal salaries? 10 11 81.5 45.9 84.8 48.2 12 13 87.7 49,3 3. Write the equation of the regression line for the data below. The equation is y= 14 91.6 51.3 52.9 Teachers y 15 16 95.7 54.4 COD 54.2 =D0.5873x-2.0s07o R=0.995, 17 95.7 4. Use the regression equation that you found in exercise #3 to predict the average annual salary…
Q9
c. Which of the following is the correct graph of the given data? -ОА. 10 1012 12 10 O C. 12- 81012 1012 Using the graph, explain the dramatic difference between the answers to parts (a) and (b). Choose the correct answer below. OA. The point (10,10) is not an outier, but it does have a strong effect on the least squares line and the correlation coefficient. OB. The point (10,10) does not have any effect on the least squares line and the correlation coefficient. OC. The point (10,10) is an outler that has a weak effect on the least squares line and the correlation coefficient. OD. The point (10,10) is an outlier that has a strong effect on the least squares line and the correlation coefficient.
1. for each of the variables paige has recorded describe what type of data she has for each 2.what type of plot has paige produced? Comment on the initial impressions you gather from this plot. 3.calculate the correlation coefficient between the height of the strawberry plant and the amount of water it gets per day. Interpret the result.
Post secondary education information was examined for a random selection of states. The data below show the number of community colleges in the number of universities for each particular state. Community: 12, 17, 13, 10, 8 University: 4, 6, 5, 4, 3 A. Create a scatterplot of the given data sets B. Find the correlation coefficient of the sets of data. C. Create the equation of the regression line for the data and evaluate it when X=300.
Amount of fertilizer (x) in pounds for each plot: 12, 5, 15, 17, 20, 14: Bushels of tomatoes harvested (y) 24 22 31 33 21 28: Round all values to three decimal places. a) Find the equation of the regression line (line of best fit). b) Calculate the correlation coefficient (r). c) Determine if there is a significant linear correlation. d) If the linear relation is significant, predict how many bushels of tomatoes would be harvested if 22 pounds of fertilizer was used.
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The following table shows the approximate number of wireless telephone subscriptions in recent years.

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