Question 7An article in the Journal of Sound and Vibration (Vol. 151, 1991, pp. 383-394) described a study investigating the relationship between noiseexposure and hypertension. The following data are representative of those reported in the article.1 60 5 850 63 4 891 65 6 902 70 8 905 70 4 901 70 5 904 80 7 946 90 9 1002 80 7 1003 80 6 100Fit a linear regression model relating blood pressure rise in millimeters of mercury (v) to sound pressure level in decibels (x) using leastsquares.Does a simple linear regression model (slope) seem reasonable in this situation? Input Yes or No. Blank 1What are the least squares estimate of the slope? Input answer up to 3 decimal places, i.e., 0.000. Blank 2Blank 1Add your answerBlank 2Add your answer

For the given data Find slope =?

Answered: An article in the Journal of Sound and…

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t= Years since 2006 0 1 2 3 4 5 6 7 8 9 10 K= Price 56 51 50 55 58 52 45 43 44 48 51 Make a quartic model of these data. Round the regression parameters to two decimal places.
QUESTION 2 XXX Electric Illuminating Company is doing a survey on the relationship between electricity used in kilowatt-hours (thousand) and the number of rooms in a private single-family residence. A random sample of 10 homes was selected and the electricity consumption recorded as below. ii. Find a suitable linear regression equation ? = ? + ??. iii. Determine the number of kilowatt-hours (thousand) for an eleven-room residence.
Question 22: A least squares regression line : A- may be used to predict a value of y if the corresponding x value is given. B- implies a cause-effect relationship between c and y. C- can only be determined if a good linear relationship exists between x and y . D- All of these answers are correct.
The following table shows data for the cost of natural gas in Maryland (in dollars per Million Btu) for x years since 1990. Year x Price in $ per Million Btu 1990 6.31 1991 6.14 1992 6.32 1993 6.75 1994 6.8 1995 6.34 1996 7.46 1997 8.12 1998 8.04 1999 8.25 2000 9.58 2001 11.28 2002 9.25 a. Define the explanatory and response variables for this problem. b. Use the calculator to obtain the linear regression line of best fit for the original prices; round to three decimal places. Write this prediction equation in the form: a. In a brief sentence, interpret the slope in the context of the problem.
Question 4 The following table shows information related to the number of salesman and sales made in October 2020 for Jubilee Berhad: Salesman Sales 1 200 2 260 3 700 4 840 5 1,000 6 1,100 Required: Forecast the total sales if the company has 10 salesman. Determine the correlation coefficient between the number of salesman and total sales if the company maintain the existing number of salesman. The sales trend can be described by the linear regression equation y = 780 + 4x, where x is the month number (with January 2013 as month 0) and y is sales in RM'000. The average seasonal variation for March is 106%. Forecast the sales for March 2015 (in thousand RM). Badrol anticipates that a 90% learning curve will apply to the production of a new item. The first item will cost RM2,500.00 in materials, and will take 500 labour hours. The cost per hour for labour and variable overhead is RM15.00. Calculate the total cost…
Section 10.2 Question #5 Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 7 10 8 9 12 14 13 5 11 6 4 y 8.11 10.67 9.27 10.12 10.86 9.82 10.49 4.89 10.91 6.66 2.82 y= ____________+ _____________x (Round to two decimal places as needed.)
Question Six The following table gives the experience (in years) for several brokers and their number of stocks sold during the previous three months in the Egyptian stock market. Broker Experience ( in years) 4 12 9 6 10 16 7 Number of stocks 19 42 28 31 39 35 21 Determine both dependent and independent variables, and explain the expected relationship between Calculate the correlation coefficient comment on the Estimates the simple regression model and comment on the estimated Predict the number of stocks sold during the past three months by broker with eleven years of Without any calculation, If independent variable is divided over 3, what will be the effect on the estimated coefficients. Justify your
question 32 Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 575 95.25 351 60.65 788 137.2 600 108 393 75.95 897 155.55 504 76.6 571 86.65 516 79.4 986 166.9 A student calculates a linear modely = __________x +_____________ . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 829.Cost = $___________- (Please show your answer to 2 decimal places.)
2(a).SSR in linear regression is equal to? SST-SSE SST+SSE SSE-SST SST x SSE SST/SSE correct option? (b).SSE or Sum of square erros show variations in between the populations variations within the populatios Type 1 error Family wise wrror Type 2 error variations within the samples correct option?
Question 12: Here is a bivariate data set. Find the regression equation for the response variable y. x y 34.8 23.5 23.3 -54.3 88.2 115.4 62.5 66.4 30.2 -24.1 63.5 51.8 56.5 81.3 71.7 129.6 70.6 112.6 77.7 160.3 58.9 87.2 51.8 64.8 69.8 92.9 62.8 42.3 -6.9 -100 46.9 54.3 This dataset can be downloaded as a *.csv file with this link: Download CSVregression equation: Enter the equation in slope-intercept form with parameters accurate to three decimal places.
A researcher notes that, in a certain region, a disproportionate number of software millionaires were born around the year 1955. Is this a coincidence, or does birth year matter when gauging whether a software founder will besuccessful? The researcher investigated this question by analyzing the data shown in the accompanying table. Complete parts a through c below. a. Find the coefficient of determination for the simple linear regression model relating number (y) of software millionaire birthdays in a decade to total number (x) of births in the region. Interpret the result. The coefficient of determination is 1.___? (Round to three decimal places as needed.) This value indicates that 2.____ of the sample variation in the number of software millionaire birthdays is explained by the linear relationship with the total number of births in the region. (Round to one decimal place as needed.) b. Find the coefficient of determination for the simple linear regression model…

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