The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. Working 67 45 73 55 62 Management 50 22 65 47 34 a. Develop the estimated regression equation by computing the values b0 and b1. Enter negative values as negative numbers. Do not round intermediate calculations. Round your answers to one decimal place. b. Predict the percentage of management jobs held by women in a company that has 60% women employees. Do not round intermediate calculations. Round your answers to nearest whole value.

The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. Working 67 45 73 55 62 Management 50 22 65 47 34 a. Develop the estimated regression equation by computing the values b0 and b1. Enter negative values as negative numbers. Do not round intermediate calculations. Round your answers to one decimal place. b. Predict the percentage of management jobs held by women in a company that has 60% women employees. Do not round intermediate calculations. Round your answers to nearest whole value.

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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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?
The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. Working 68 46 73 55 62 Management 49 22 65 48 34 d. Develop the estimated regression equation by computing the values and . Enter negative values as negative numbers. Do not round intermediate calculations. Round your answers to one decimal place. y=___+____x e. Predict the percentage of management jobs held by women in a company that has 60% women employees. Do not round intermediate calculations. Round your answers to nearest whole value. ____%
The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. %Working 68 45 73 55 61 %Management 50 22 65 48 34 d. Develop the estimated regression equation by computing the values b 0 and b 1.Enter negative values as negative numbers. Round your answers to one decimal place.y = _ + _ x e. Predict the percentage of management jobs held by women in a company that has 60% women employees. Round your intermediate calculation to 1 decimal place and answer to nearest whole value.
The following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 100 50 2000 330 130 280 120 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a) With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) = What does the slope tell you about the relationship between the number of social science doctorates and the number of education doctorates? The slope tells us the increase in the number of education doctorates for each additional social science doctorate. The slope tells us the decrease in the number of social science doctorates for each additional education doctorate. The slope tells us the increase in the number of social science doctorates for each additional education doctorate.…
1. The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. % Working 69 48 73 54 61 % Management 51 21 61 51 43 Develop the estimated regression equation by computing the values of b0 (y-intercept) and b1 (slope).Predict the percentage of management jobs held by women in a company that has 65% women employees.
The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Audrey’s car over several months. miles driven 278 273 273 337 273 319 331 cost to fill up 22.03 22.20 20.83 26.40 20.94 23.87 24.53 If Audrey needs to drive 308 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.
The following data give the percentage of women working in five companies in the retail and trade industry. The percentage of management jobs held by women in each company is also shown. %Working 68 45 73 55 62 %Management 50 21 65 47 34 Develop the estimated regression equation by computing the values b 0 and b 1.Enter negative values as negative numbers. Round your answer for the intercept to one decimal place, and your answer for the slope to two decimal places.y^ = + x Predict the percentage of management jobs held by women in a company that has 60% women employees. Round your answer to a whole percentage.
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.
The following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 120 50 2000 330 130 280 140 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a) With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) =
The following table shows the annual number of PhD graduates in a country in various fields. NaturalSciences Engineering SocialSciences Education 1990 70 10 60 30 1995 130 40 120 40 2000 330 130 280 120 2005 490 370 460 210 2010 590 550 830 520 2012 690 590 1,000 900 (a)With x = the number of social science doctorates and y = the number of education doctorates, use technology to obtain the regression equation. (Round coefficients to three significant digits.) y(x) =
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