Only need last part The least-squares regression equation is y = 833.6x + 11,122 where y is the median income and x is the percentage of 25 years and older with at least a bachelor'sdegree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7897. Complete parts (a) through (d).(a) Predict the median income of a region in which 30% of adults 25 years and older have at least a bachelor's degree.$ 36130 (Round to the nearest dollar as needed.)(b) In a particular region, 27.6 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $30,884. Is this income higher thanThis is lowerthan expected because the expected income is $ 34129(Round to the nearest dollar as needed.)(c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice.(Type an integer or decimal. Do not round.)O A. For every percent increase in adults having at least a bachelor's degree, the median income increases by $on average.O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $O C. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is%, on average.OD.For a median income of $0, the percent of adults with a bachelor's degree is%.Median Income20

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Description: Only need last part The least-squares regression equation is y = 833.6x + 11,122 where y is the median income and x is the percentage of 25 years and older with at least a bachelor'sdegree in the region. The scatter diagram indicates a linear relatio

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(c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal. Do not round.) O A. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ on average. O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $ OC. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average. OD. For a median income of $0, the percent of adults with a bachelor's degree is

(c) Interpret the slope. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal. Do not round.) O A. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ on average. O B. For 0% of adults having a bachelor's degree, the median income is predicted to be $ OC. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average. OD. For a median income of $0, the percent of adults with a bachelor's degree is

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 least-squares regression equation is y=620.6x+16,624 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7004. Predict the median income of a region in which 30% of adults 25 years and older have at least a bachelor's degree.
The least-squares regression equation is y=728.0x+14,705 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.8165. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is ___%, on average. For a median income of $0, the percent of adults with a bachelor's degree is ____%.
The least-squares regression equation is y=647.8x+17,858 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7507. predict the median income of a region in which 20% of adults 25 years and older have at least a bachelor's degree. Round to the nearest dollar as needed.
The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Interpret the slope.
The least-squares regression equation is y=620.6x+16,624 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7004. In a particular region, 28.3 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $37,389. Is this income higher than what you would expect? Why?
The least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. In a particular region, 26.5 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $29,889. Is this income higher or lower than what you would expect? Why?