OHaganBooks.com has tried selling novel through o'Books at a variety of prices, with the followingresults:Price ($)Demand (monthly sales) 845 765 755 6438.10 9.90 10.6o 11.50Use the given data to obtain a linear regression model of demand. (Round the answer to the nearestwhole number.)where q is the number of novels sold monthly and p is the price.

answer is q = -54.55p + 1298.85 explanation is given in below step

OHaganBooks.com has tried selling novel through o'Books at a variety of prices, with the following results: Price ($) Demand (monthly sales) 845 765 755 643 8.10 9.90 10.60 11.50 Use the given data to obtain a linear regression model of demand. (Round the answer to the nearest whole number.) p+ where q is the number of novels sold monthly and p is the price.

OHaganBooks.com has tried selling novel through o'Books at a variety of prices, with the following results: Price ($) Demand (monthly sales) 845 765 755 643 8.10 9.90 10.60 11.50 Use the given data to obtain a linear regression model of demand. (Round the answer to the nearest whole number.) p+ where q is the number of novels sold monthly and p is the price.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.6: Higher-degree Polynomials And Rational Functions

Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...

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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.
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?
For the following exercises, consider this scenario: The profit of a company decreased steadily overa ten-year spam.The following ordered pairs shows dollars and the number of units sold in hundreds and the profit in thousands ofover the ten-year span, (number of units sold, profit) for specific recorded years: (46,600),(48,550),(50,505),(52,540),(54,495). Use linear regression to determine a function Pwhere the profit in thousands of dollars depends onthe number of units sold in hundreds.
OHaganBooks.com has tried selling novel through o'Books at a variety of prices, with the following results: Price ($) 5.40 7.40 9.60 11.40 Demand (monthly sales) 673 556 444 422 Use the given data to obtain a linear regression model of demand. (Do not round till the end, then round to two decimal places.) q=____p+____ where q is the number of novels sold monthly and p is the price.
OHaganBooks.com has tried selling novel through o'Books at a variety of prices, with the following results: Price ($) 7.70 9.00 10.20 11.60 Demand (monthly sales) 763 705 568 545 Use the given data to obtain a linear regression model of demand. (Do not round till the end, then round to two decimal places.) q= p+ where q is the number of novels sold monthly and p is the price.
Healthy Hamburgers has a chain of 12 stores in northern Illinois. Sales figures and profitsfor the stores are given in the following table. Obtain a regression equation for the data, andpredict profit for a store assuming sales of $10 million.Unit Sales, x(in $ millions)Profits, y(in $ millions)$7 $0.15 2 0.106 0.134 0.1514 0.2515 0.2716 0.2412 0.2014 0.2720 0.4415 0.347 0.17
The following table shows the reported net sales by Nokia in 2008, 2009, and 2010. Year 2008 2009 2010x 0 1 2Sales ($ millions) 20 50 60 Find the Equation of the Linear Regression Line. Rounds decimal values to the nearest tenths.
OHaganBooks.com has tried selling novels through o'Books at a variety of prices, with the following results. Price $5.50 $10 $11.50 $12 Demand (monthly sales) 660 390 390 340 (a) Use the given data to obtain a linear regression model of demand. q(p) = (b) Use the demand model you constructed in part (a) to estimate the demand if the company charged $7 per novel. (Round your answer to the nearest whole number.) novels
The following data relate the sales figures of the bar in Mark Kaltenbach's small bed-and-breakfast inn in portland, to the number of guests registerd that week: week guests bar sales 1 16 $330 2 12 $270 3 18 $380 4 14 $315 a) The simple linear regression equation that relates bar sales to number of guests (not to time) is (round your responses to one decimal place): Bar sales = 65+17.15 x guests b) If the forecast is 24 guests next week the bar sales are expected to be $[__] (round your response to one decimal place).
The following data relate the sales figures of the bar in Mark kaltenbach's small bed-and-breakfast inn in Portland, to the number of guests registered that week: Week Guest Bar sales 1 16 $330 2 12 $270 3 18 $380 4 14 $315 a) The simple linear regression equation that relates bar sales to number of guests (not to time) is ( round your response to one decimal place) Bar sales= ___+___Xguests
Midgett Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff suggested that linear regression be employed to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis are as follows: Month MaintenanceCost Machine Hours Jan. $ 5,000 600 Feb. 3,644 440 Mar. 4,400 610 Apr. 3,337 480 May 5,222 660 June 3,390 410 July 3,618 470 Aug. 5,384 630 Sept. 5,114 590 Oct. 4,883 590 Nov. 3,925 430 Dec. 3,850 350 Sum $ 51,767 6,260 Average $ 4,313.92 521.67 Average cost per hour ($51,767/6,260) = $8.27 (rounded to the nearest cent) r = 0.85977 r2 = 0.73920 The percent of the total variance that…
Twenty members of an athletic club are studying the relationship between the time it takes an individual athlete to reach a given level of fatigue during exercise (time to fatigue, measured in minutes) and athletic performance. For each member, time to fatigue and a performance score were recorded. The computer output of the regression analysis is shown in the table. Term CoefCoef SE CoefSE Coef TT Constant 39.88 4.24 9.41 Time to fatigue 3.92 0.71 5.52 Which of the following is a 90 percent confidence interval for the slope of the regression line relating performance score and time to fatigue? Assume that the conditions for inference are met.