The least-squares regression equation is y = 602.1x + 17,023 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 0.6748. Complete parts (a) through (d). C Median Income 55000 25000+ 15 20 25 30 35 40 45 50 55 60 Bachelor's % (a) Predict the median income of a region in which 25% of adults 25 years and older have at least a bachelor's degree. $ 32076 (Round to the nearest dollar as needed.) (b) In a particular region, 29.1 percent of adults 25 years and older have at least a bachelor's degree. The median income in this region is $37,759. Is this income higher than what you would expect? Why? This is higher than expected because the expected income is $ 34544 (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 0% of adults having a bachelor's degree, the median income is predicted to be $ OB. For a median income of $0, the percent of adults with a bachelor's degree is %. OC. For every dollar increase in median income, the percent of adults having at least a bachelor's degree is %, on average. OD. For every percent increase in adults having at least a bachelor's degree, the median income increases by $ , on average.

The scatter plot below shows the average cost of a designer jacket in a sample of years between 2000 and 2015. The least squares regression line modeling this data is given by yˆ=−4815+3.765x.     A scatterplot has a horizontal axis labeled Year from 2005 to 2015 in increments of 5 and a vertical axis labeled Price ($) from 2660 to 2780 in increments of 20. The following points are plotted: (2003, 2736); (2004, 2715); (2007, 2675); (2009, 2719); (2013, 270). All coordinates are approximate.    Interpret the slope of the least squares regression line. Select the correct answer below:   1.The average cost of a designer jacket decreased by $3.765 each year between 2000 and 2015.   2.The average cost of a designer jacket increased by $3.765 each year between 2000 and 2015.   3.The average cost of a designer jacket decreased by $4815 each year between 2000 and 2015.   4. The average cost of a designer jacket increased by $4815 each year between 2000 and…

From a regression equation r2= 0.39 and the slope = -2.8 What is the linear correlation coefficient r?

A regression modrel examining the amount of distance a long-ddistance runner runs (in miles) to predict the amount of fluid the runner drinks (ounces0 has a slope of 4.6. Which interpretation is appropiate? The correlation is needed to interpret this value. Arunner drinks minimum of 4.6 oz.  We predict 4.6 miles for every ounce that drunk. We predict for every mile run, the runner drinks 4.6 more ounces. Each mile adds 4.6 more ounces.