Copy DataThe estimated regression equation and the standard error are given.Defects per Countertop = 6.717822 – 1.004950( Hours of Training )S. = 1.229787Suppose a new employee has had 3.5 hours of training. What would be the 95 % prediction interval for the number of defects per countertop? Round your answer totwo decimal places. A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employeereceives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received isrecorded and the number of defects on the most recent countertop produced is determined. The results are as follows.Hours of TrainingDefects per Countertop141732541182

Answered: Image /qna-images/answer/a946aaef-0eb3-446b-8211-1febaae18ee1.jpg

Answered: The estimated regression equation and…

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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(2 Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.2 cm. How does the result compare to the actual circumference of 3.8 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball Diameter 7.5 24.2 4.4 21.7 6.9 4.0 21.4 Circumference 23.6 76.0 13.8 68.2 21.7 12.6 67.2 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y=+x. (Round to five decimal places as needed.) The best predicted circumference for a diameter of 1.2 cm is cm. (Round to one decimal place as needed.) How does the result compare to the actual circumference of 3.8 cm? O A. Since 1.2 cm is beyond the scope of the sample diameters, the predicted value yields a very different circumference. O B. Even though 1.2 cm is within the scope of the sample diameters, the predicted value yields a very different circumference. O C.…
Use the of to calculate the 80% of a who studied The and test for 6 in Phelp 2. Use the margin of error to calculate the 80% prediction interval of a student's score who just 2 hours. 7th grade math class. Test Score y Hours Studied r 65 5. 71 9. 78 7. 82 8. 86 6. 94 1. Regression Equation: ŷ = 5.543x + 37.762 The standard error of estimate Se = 1.13 %3D355 (7) pue g = (x) The estimated score will be between A. 48.848 and 51.796 with a margin of error of 2.838 B. 46.010 and 51.686 with a margin of error of 2.838 C. 40.357 and 46.253 with a margin of error of 2.948 D. 45.900 and 48.848 with a margin of error of 2.768 E. 45.900 and 51.796 with a margin of error of 2.948
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40inches. Is the result close to the actual weight of 352pounds? Use a significance level of 0.05.a. Chest size (inches) 41 54 44 55 39 51 Weight (pounds) 328 528 418 580 296 503 a.What is the regression equation? b. The best predicted weight for a bear with a chest size of 39 inches is _______pounds.
For the data shown below, Find the best -fit regression equation. 1.661 1.931 0.545 0.186 0.010 0.211 0.327 0.486 0.554 0.732 6.908 3.324 2.071 0.734 0.03 Y 0.802 1.253 1.825 2.128 2.779
Find the regression equation, lotting the diameler be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.3 cm. How does the result compare to the achual circumference of 4.1 cm? Use a significance level of 0.05 Baseball Basketball Golf Soccer Tennis Ping Pong Volleyball 7.3 Diameter Circumference 23.5 4.4 21.9 7.1 3.9 21.4 22.9 73.8 13.8 68.8 22.3 12.3 67.2 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y = x (Round to five decimal places as needed.)
The best predicted circumference for a diameter 1.2 cm is?
Which one of the following numbers for the standard error of estimate would indicate the best regression fit? 100 50 1000 10
The monthly water consumption (thousand liters) and the number of household members in eight private single-family residences is given in the following table: No. of members 12 14 6. 10 8 10 10 Water use (thousand liters) 7 10 5 8 8 10 a. Determine the slope coefficient B1 for the regression of water use given No. of household members. Answer rounded to three decimal places. b. Determine the y-intercept Bo for the regression of water use given No. of household members. Answer rounded to two decimal places. c. Determine the water use for a five-member household. Answer rounded to two decimal places. thousand liters
Suppose that a regression line is found to be ý = 0.5470x +7.7000 What is the predicted value for a = 7? O a. 11.53 O b. 54-45 C. 53-35 O d. -3.87
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.1 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) 8.1 7.6 8.9 7.7 8.6 9.8 Weight (kg) 156 166 213 138 197 251 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = (Round to one decimal place as needed.)
Fifty matched pairs of magnitude/depth measurements randomly selected from 10,594 earthquakes recorded in one year from a location in Southern California. Find the best predicted depth of an earthquake with a magnitude of 0.9. Use a significance level of 0.05.
A packaging company fills bags so that each bags has an average weight of 250 grams. The owners take a sample of bags and records the weight (grams) of each. They found the following information: Five-Number Summary (in grams) Min 213.97 Q1 236.34 Q2 244.1 Q3 255.47 Max 272.5 75% of bags weigh more than which amount?

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