Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
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Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
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- DVD Player sales The table shows the number of DVD play-ers sold in a small electronics store in the years 2003-2013. What was the average rate of change of sales between 2003 and 2013? Whatwas the average rate of change of sales between 2003 and 2004? What was the average rate of change of sales between 2004 and 2005? Between which two successive years did DVD player sales increase most quickly?For the following exercises, draw a best-fit line for the plotted data.In constructing the regression equation for predicting electricity bills (BILLS) from number of people in an area (AREA), it was calculated that the slope is 57.35 and it was known that the mean BILL is PhP 1,327.21 and the mean NUMBER is 6.31. What is the value of the intercept? O None of the Choices O PhP 768.08 O PhP 965.33 O PhP 611.10 O PhP 884.55
- A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.694, and the regression equation is y = 0.294x + 2.02. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. %A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.653, and the regression equation is y = 0.226x + 4.86. What proportion of the variation in head circumference can be explained by the variation in the values of height? Round your answer to three decimal places. Hint: Make sure you give your answer as a percentage. %For 39 nations, a correlation of 0.887 was found between y = Internet use (%) and x = gross domestic product (GDP, in thousands of dollars per capita). The regression equation is y = -3.68 + 1.73x. Complete parts (a) through (c). a. Based on the correlation value, the slope had to be positive. Why? A. The slope and correlation are positive because gross domestic product could not be negative. B. The correlation and the slope are positive because the y-intercept is negative. C. That is a very unusual fact, because the slope and correlation usually have different signs. D. Although slope and correlation usually have different values, they always have the same sign.
- The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $6 million. Is the result close to the actual number of viewers, 2.9 million? Use a significance level of 0.05For 39 nations, a correlation of 0.887 was found between y = Internet use (%) and x = gross domestic product (GDP, in thousands of dollars per capita). The regression equation is y = -3.68 + 1.73x. Complete parts (a) through (c). a. Based on the correlation value, the slope had to be positive. Why? A. The slope and correlation are positive because gross domestic product could not be negative. B. The correlation and the slope are positive because the y-intercept is negative. That is a very unusual fact, because the slope and correlation usually have different signs. D. Although slope and correlation usually have different values, they always have the same sign. b. One nation had a GDP of 31.3 thousand dollars and Internet use of 28.5%. Find its predicted Internet use based on the regression equation. % (Round to one decimal place as needed.)In a regression analysis, if the slope is -2.23and the y-intercept is 1.25, which of the following should be the least regression equation? A. y = -2.23x + 1.25 B. y = 1.25x - 2.23 C. y = 2.23x - 1.25 D. y = -1.25x + 2.23
- A regression was run to determine if there is a relationship between hours of TV watched per day, xx, and number of sit-ups, yy, a person can do in a minute.The results of the regression were: y=ax+b a=-0.619 b=20.503Use this to predict the number of sit-ups a person who watches 2.52.5 hours of TV can do in a minute. Round to the nearest whole number.A pediatrician wants to determine the relation that exists between a child's height (x) and head circumference (y). She randomly selects 11 children from her practice and measures their height and head circumference in inches. She finds that the correlation is 0.477 and the regression equation is y = 0.149x + 8.15 What proportion of the variation in head circumference can be explained by the variation in the values of height? % Report answer as a percentage accurate to one decimal place.A regression was run to determine if there is a relationship between hours of TV watched per day, x, and number of sit-ups, y, a person can do in a minute. The results of the regression were: y=ax+b a=-1.143 b=20.776 Use this to predict the number of sit-ups a person who watches 10 hours of TV can do in a minute. Round to the nearest whole number.
