Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded thenumber of pages in each textbook and its cost. The bivariate data are shown below:Number of Pages (2) Cost(y)79857.8632826.9677665.3266061.274057.875055.565663.9290680.4285361.7174158.87A student calculates a linear model. (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 386.Cost = $(Please show your answer to 2 decimal places.)

Find Regression line equations from the following data, also Estimate y when x = 386 X Y 798…

Answered: Statistics students in Oxnard College…

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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The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days=14.310162−0.2369(Age) se=1.682207se=1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.
Listed. below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions 41 21 114 68 79 51 118 65 9. 61 122 21 15 151 110 119 11 107 56 128 116 101 107 55 105 222 39 22 283 45 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y%= X. %3D (Round to one decimal place as needed.)
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 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
Consider the data in the Excel file Nuclear Power. Use simple linear regression to forecast the data. What would be the forecasts for the next three years? Nuclear Electric Power Production (Billion KWH) Year US Canada France 1980 251.12 35.88 63.42 1981 272.67 37.8 99.24 1982 282.77 36.17 102.6 1983 293.68 46.22 136 1984 327.63 49.26 180.5 1985 383.69 57.1 211.2 1986 414.04 67.23 239.6 1987 455.27 72.89 249.3 1988 526.97 78.18 260.3 1989 529.35 75.35 288.7 1990 576.86 69.24 298.4 1991 612.57 80.68 314.8 1992 618.78 76.55 321.5 1993 610.29 90.08 349.8 1994 640.44 102.4 342 1995 673.4 92.95 358.4 1996 674.73 88.13 377.5 1997 628.64 77.86 375.7 1998 673.7 67.74 368.6 1999 728.25 69.82 374.5 2000 753.89 69.16 394.4 2001 768.83 72.86 400 2002 780.06 71.75 414.9 2003 763.73 71.15 419 2004 788.53 85.87 425.8 2005 781.99 87.44 429 2006 787.22 93.07 427.7
Pa.n.n
State the regression equation and use it to predict taxes for a house with lot size 10K.
Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore, and recorded number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (x) Cost(y) 615 34.9 314 32.84 599 357 31.94 32,42 860 58.6 973 64.38 679 51.74 250 748 24 51.88 A student calculates a linear model (Please show your answers to two decimal places) Use the model above to estimate the cost when number of pages is 520 Cost = S (Please show your answer to 2 decimal places.) Question Help: Message instructor Submit Question
Bowling Corporation wants to know how closely its current cost driver is correlated with its monthly operating costs. The managerial accountant runs a regression analysis using a statistical software program and produces the following data: Intercept Coefficient = 12,200,567 X Variable 1 Coefficient = 95.65 R-square= 0.8574 What is the Bowling Corporation's monthly cost equation? OA. y $95.65x + $12,200,567 OB. y $95.65x + $8.574 O c. y = $0.8574x + $12,200,567 O D. y = $12,200,567x + $8,574 ---
Gasoline Mileage. An engineer wants to determine factors that affect the EPA miles per gallon rating of new automobiles available for sale in the United States. a. Suggest five predictor variables that might be useful in predicting the miles per gallon rating. b. Write the multiple linear regression model for the conditional mean of the response variable, miles per gallon.
Find and interpret the value of the coefficient of determination.
One of the biggest changes in higher education in recent years has been the growth of online universities. The Online Education Database is an independent organization whose mission is to build a comprehensive list of the top accredited online colleges. The following table shows the retention rate (%) and the graduation rate (%) for 29 online colleges.a). Use Excel Data Analysis Tool – Regression to get the relationship between the two variables;b). Create a scatter diagram for the two variables and display regression equation and R square on chart, then explain the relationship between the variables;c). Did the estimated regression equation provide a good fit?d). Suppose you were the president of South University. After reviewing the results, would you be able to use the regression result for forecasting. College RR(%) GR(%) Western International University 7 25 South University 51 25 University of Phoenix 4 28 American InterContinental University 29 32 Franklin…

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