With your pencil, make a dot on the position of your best visual estimate of the centroid of the triangular area.14.011.28.45.62.8001.2(x, y) = (i2.43.64.86.0Now refer to Sample Problem 5/2 and to Table D/3 and find the exact location of the centroid.

Consider the provided question, We need to find the centroid of the triangular area, The vertices of…

Answered: With your pencil, make a dot on the…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Q1. We use the data for Space Mars of cost driver and Indirect Manufacturing Labor Costs. (Data) week cost driver: Machine Hours(X) Indirect Manufacturing Labor Costs(Y) 68 70 1,200 1,400 1 67(lowest) 90(highest) 7 1,180 8 1,650 (Results) SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error 0.965504 0.932198 0.920897 4.097673 Observations 8 ANOVA Significance F 1E-04 df S MS F Regression 1 1385.129 1385.129 82.49274 Residual 6 100.7456 16.79093 Total 7 1485.875 Standard Error Coefficients t Stat P-value Intercept X Variable -62.0077 14.4556 -4.28953 0.005152 0.105775 0.011646 9.082551 1E-04 (a) What is the estimated indirect labor cost based on the regression line when X=75? (b) Evaluate the goodness of fitness of this regression line. (c) Describe the meaning of R (d) Explain the meaning of F (e) Estimate Indirect Manufacturing Labor Costs(Y) function by using "High Low Method" 2.
See the attached image for the introduction. Is there evidence that Bathrooms adds important information to a model that already includes Square Feet and Price/Square Feet? Use the output to justify your answer.
pls only answer b-c i am having a hard time understanding those and would like to learn esspecially with plotting residuals. pls use ms excel and thank u
The results shown to the right provide the X-values, residuals, and a residual plot from a regression analysis. Is there any evidence of a pattern in the residuals? Explain. Choose the correct answer below. A. Yes, the residuals show a distinct cyclical pattern. O B. Yes, the residuals show a distinct curved pattern. C. No, the residuals appear to be randomly spread. OR Yes the residuals show decreasing variation O C X 1 234567890 10 Residuals 0.78 -0.71 1.17 -0.63 2.45 -0.77 0.27 1.64 - 1.24 1.66 Residuals 3- 2- 1- ● хол- To 10
esc C Clever | Teacher Page ← → CO E S O 18 X Question 18/25 Ov E Edulastic What is the scale factor? y > NEXT app.edulastic.com/student/assessment/646b78522e7bca00089943ce/class/63c601ce955232000837dc08/uta/646b78b356222200082e2cd4/itemld/5dd.... < A 10-8 DO Triangle ABC is dilated witha scale factor of k and a center of dilation at the origin to obtain triangle A'B'C'. Y 10+ 6 X C B BOOKMARK X 1 8 6- 4+ 2- A 40 What is the exact perimeter of a X + 6 -8- 101 2 4 6 8 C C G 10 HES 101 X into miler ast Sign out May 22
Use the given data X 5 6.34 y OA. F4 4 $ y=+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. Ay 25 20 15-3 10 5 6 11 13 7.54 9.34 8.11 BORO o find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 0 5 10 15 20 25 F5 ► 11 Q Q % 5 5 12 9 8.86 9.45 F6 3 3.11 A F7 OB. Identify a characteristic of the data that is ignored by the regression line. OA. There is an influential point that strongly affects the graph of the regression line. B. There is no trend in the data OC. The data has a pattern that is not a straight line OD. There is no characteristic of the data that is ignored by the regression line. & 8 4 9.10 4.86 25 20- 15 10 AY F8 COMOD 53 0- 0 5 10 15 20 25 10 7 9.54 8.45 F9 P Q Q * DELL F10 !!! 4 F11 CIE OC. Ay 25 20 15: 10 5 animan 0 5 10 15 20 25 F12 PrtScr 020 Q Insert Delete O D. Ay 25- 205 15-3 105 5-3 0- 0 5 10 15 20 25 PgUp Q…
Consider the set of dependent and independent variables given below. Perform a best subsets regression and choose the most appropriate model for these data. E Click the icon to view the data. ..... Find the most appropriate model for the data. Note that the coefficient is 0 for any variable that is not included in the model. y=+(x, + (Dx2 + (Dx3 + (OX4 (Round to three decimal places as needed.) Data table X1 X2 X3 24 y X4 64 74 22 17 43 63 29 15 30 51 78 52 20 25 49 17 38 29 39 45 12 19 37 42 47 17 17 30 33 39 23 35 8 5 37 17 15 40 30 15 10 27 44 27 20 10 30 41 20 17 7 33 49 Print Done
a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,3), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b). 02468100246810xy A scatterplot has a horizontal x-scale from 0 to 10 in increments of 1 and vertical y-scale from 0 to 10 in increments of 1. Ten points are plotted with nine points, (4, 6), (5, 6), (6, 6), (4, 7), (5, 7), (5, 7), (6, 7), (4, 8), (5, 8), and (6, 8), forming a square and the tenth point (2, 3) being below and to the left of the square. Question content area bottom Part 1 a. What is the equation of the regression line for all 10 points? y=enter your response here+enter your response herex (Round to three decimal places as needed.) Part 2 b. What is the equation of the regression line for the set of 9 points? y=enter your response…
eBook Given are five observations for two variables, z and y. 15 13 17 19 51 58 50 23 16 The estimated regression equation for these data is y= 62.15 - 2.05z. a. Compute SSE, SST, and SSR. %3D SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimais) b. Compute the coefficient of determination r, Comment on the goodness of fit. (to 3 decimals) The least squares line provided an Select your answer it; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals) 0 Jcon Key 4 Question 2 of
For the points below find the regression line using least square fit. Please draw the full table as shown in the slide during class. x y 1 10 2 6 3 9 4 50 5 22 6 20 7 30 8 30 9 35 10 38 If the y-coordinate of all the points are increased by p (p can be negative) the regression line will pass through the origin. What is the minimum possible value of p.
explain into details. Thank you.
of A uncw.instructure.com Bob's Burgers is a chain of hamburger fast food restaurants located all over the state of Alaska. Bob, the OM, has collected sales data from their famous Jalapeño Burger over the past 5 weeks, and wants to generate a linear regression equation to estimate potential sales for upcoming weeks. Given the data below, what is the regression equation? Jalapeño Burger Week Sales 354 345 367 3. 380 4. 413 5. Use the Summary Output below to write the equation for the model that explains the linear relationship between weeks and Jalapeño Burger sales? SUMMARY OUTPUT Regression Statistics Multiple R 0.91065 R Square 0.829283 Adjusted R 0.772377 Square Standard 12.67412 Error Observations 5 ANOVA Significance SS MS F. Regression 1. 2340.9 2340.9 14.57294 0.031628 Residual 481.9 160.6333 3.

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With your pencil, make a dot on the position of your best visual estimate of the centroid of the triangular area. 14.0r 11.2 8.4 5.6 2.8 0 0 1.2 (x, y) = (i 2.4 3.6 4.8 Now refer to Sample Problem 5/2 and to Table D/3 and find the exact location of the centroid. 6.0 i