The following table shows the percentage of people 25 years and older who have completed four or more years of college. Use the line of best fit (regression line) to predict when (what year) the percentage will reach 49%. Round the slope and y-intercept to four decimal places, if necessary. Year 1985 1990 1995 2000 2005 2010 Percentage 19.4 21.3 23.0 25.6 27.6 29.9

The following table shows the percentage of people 25 years and older who have completed four or more years of college. Use the line of best fit (regression line) to predict when (what year) the percentage will reach 49%. Round the slope and y-intercept to four decimal places, if necessary. Year 1985 1990 1995 2000 2005 2010 Percentage 19.4 21.3 23.0 25.6 27.6 29.9

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Similar questions

Year Median Age 1980 4.1 1985 5.5 1990 6.2 1995 7.3 The following data shows the median age of automobiles and trucks on the road for certain country. Use linear regression to find the linear equation that is the best fit for the data, width x equal to the number of years past 1980. Round your coefficient to 2 decimal places if necessary.
For the data below, what is the value of "b" for the regression equation? Family Father Son 120 121 110 105 120 125 92 87 85 92 72 90 107 110 115 122 155 133 90 123
A company has the following monthly sales for the past year. Plot the data points on a line graph and describe the results. Month Sales 1 145 2 146 3 145 4 150 5 148 6 150 7 156 8 160 9 158 10 153 11 152 12 154
A researcher is interests in the relationship between time and bottled water consumption . The following data was collected: COMPLETE ALL STEPS
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r value. The regression equation is reported as y = 75.56z + 78.71 and the r = 0.2209. What is the correlation coefficient for this data set?
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.
A random sample of ten professional athletes produced the following data. The first row is the number of endorsements the athlete has and the second row is the amount of money made (in millions of dollars) by the athlete.   What is the slope of the line of best fit? Round to 3 decimal places. Number of Endorsements 0 3 2 1 5 5 4 3 0 4 Profit (in Millions) 2 8 7 3 13 12 9 9 3 10
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 5 15 13 3 9 0 3 7 7 14 4 Sick Days 5 5 1 5 4 9 9 6 5 3 9 Use the model to predict the number of sick days taken for an employee who took 3 vacation days this year.Sick Days = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. The slope has no practical meaning since a negative number cannot occur with vacation days and sick days. For every additional vacation day taken, employees tend to take on average 0.40 fewer sick days. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. If an employee takes no vacation days, then that employee will take 8 sick days. The average number of sick days is…
None
A professor went to a website for rating professors and looked up the quality rating and also the "easiness" of the six full-time professors in one department. The ratings are 1 (lowest quality) to 5 (highest quality) and 1 (hardest) to 5 (easiest). The numbers given are averages for each professor. Assume the trend is linear, find the correlation, and comment on what it means. Calculate the correlation. r = (Round to three decimal places as needed.) Comment on the meaning of the correlation. Choose the correct interpretation below. OA. The professors that have high easiness scores tend to also have low quality scores.. OB. Being "easy" as a professor causes students to regard the professor as having a higher quality. OC. The professors that have high easiness scores tend to also have high quality scores. OD. Being "easy" as a professor causes students to regard the professor as having a lower quality. Quality Easiness D 4.7 3.7 4.7 3.1 4.2 3.5 4.2 2.6 3.9 1.9 3.5 1.8
The table below shows the approximate percent of students who sent applications to two colleges in various years since 1985. Years Since 1985 0 3 6 9 12 15 Percent 20 18 15 15 14 13 The scatter plot below is a representation of the table of data above. A regression equation for this line is What do the slope and y-intercept indicate? a. The slope indicates that the percent in 1985 should have been about 19%. The y-intercept indicates that the percent is falling at about 0.4% each year. b. The slope indicates that the percent is falling at about 0.4% each year. The y-intercept indicates the percent in 1985 should have been about 19%. c. The slope indicates tha the percent has remained the same for each year. The y-intercept indicates the percent in 1985 should have been 22%. d. There is not enough information to determine what the slope and y-intercept indicate. Please select the best answer from…
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r value. The regression equation is reported as y = – 17.55x + 59.45 and the r? = 0.0081. What is the correlation coefficient for this data set? r =